llm_prompt_mrole_llama.txt

0
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

We are ashamed of them . " However , Mutko stopped short of admitting the doping scandal was state sponsored . " We are very sorry that athletes who tried to deceive us , and the world , were not caught sooner . We are very sorry because Russia is committed to upholding the highest standards in sport and is opposed to anything that threatens the Olympic values , " he said . English former heptathlete and Athens 2004 bronze medallist Kelly Sotherton was unhappy with Mutko 's plea for Russia 's ban to be lifted for Rio

Now, you need to extract the arguments for the event type contact.prevarication.broadcast, where the event trigger is deceive. The roles to extract include communicator, recipient, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['communicator: athletes', 'recipient: us , and the world', 'place: Russia']
{“communicator”: “athletes”, “recipient”: “us, and the world”, “place”: null}



10
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

“ It ’s a tool for Russia to maintain its influence when it ’s much more difficult to do it via ordinary economic tools , ” Kreko said . The efforts to pull Europe toward Russia go far beyond courting individual political parties , officials and analysts say , although those tools remain important . In Eastern Europe , leaders suspect the Kremlin of funding environmental groups that oppose measures that would make their countries less dependent on Russian energy . Across Europe , Kremlin - backed media outlets Russia Today and Sputnik News have made aggressive expansions into local - language European media markets in the past two years , pushing an aggressively pro - Russian line that sometimes has only a loose relationship to the truth . In January , for example , Russia ’s state - run First Channel reported that a 13-year - old Russian - German girl had been gang - raped by migrants in Berlin .

Now, you need to extract the arguments for the event type transaction.transferownership.giftgrantprovideaid, where the event trigger is funding. The roles to extract include giver, beneficiary, recipient, artifact, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['giver: Kremlin', 'beneficiary: environmental groups', 'recipient: NULL', 'artifact: NULL', 'place: NULL']
{“giver”: “the Kremlin”, “beneficiary”: null, “recipient”: “environmental groups”, “artifact”: null, “place”: “Eastern Europe”}



20
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

NATO member Turkey hosts American troops and warplanes at its Incirlik Air Base , an important staging area for the U.S.-led fight against Islamic State militants in neighboring Iraq and Syria . The chairman of the U.S. Joint Chiefs of Staff Joseph Dunford tried to soothe strained ties with Turkey during a visit to Incirlik and Ankara just over a week ago . In Ankara he inspected the damage inflicted by the plotters ’ fighter jets on the Turkish parliament building . U.S. Secretary of State John Kerry is expected to visit Turkey on Aug. 24 . Turkish authorities have said the country ’s intelligence service has cracked into several smartphone messaging apps that Gulen ’s followers used to communicate with each other in the years ahead of the coup attempt and was able to trace tens of thousands of people from the group .

Now, you need to extract the arguments for the event type inspection.sensoryobserve.physicalinvestigateinspect, where the event trigger is inspected. The roles to extract include inspector, inspectedentity, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['inspector: he', 'inspectedentity: damage', 'place: Ankara']
{“inspector”: “Joseph Dunford”, “inspectedentity”: “damage”, “place”: “Ankara”}



30
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

Only then did the video come up . Trump offered no apology for his remarks , continuing to insist they were little more than “ locker room ” conversation . Cooper had to ask Trump five times whether or not he had actually sexually assaulted women before Trump denied it . Clinton pounced . “ With prior Republican nominees for president , I disagreed with them , politics , policies , principles , but I never questioned their fitness to serve .

Now, you need to extract the arguments for the event type life.injure.n/a, where the event trigger is assaulted. The roles to extract include victim, injurer, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['victim: women', 'injurer: Trump', 'place: NULL']
{“victim”: “women”, “injurer”: “Trump”, “place”: null}



40
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

With no water sources nearby , it would have been a bad place for a settlement , too . In a paper published in the journal Quartär , Thomas Terberger , the archaeologist who led the recent dig , says the burials are evidence of careful planning . “ It ’s not an accumulation of burials by accident , but a place where they decided to put their dead , ” says Terberger , of the Lower Saxony Department of Historic Preservation . “ It ’s the first evidence of a true cemetery in northern Europe or Scandinavia . ” That , colleagues say , makes the spot special .

Now, you need to extract the arguments for the event type contact.funeralvigil.meet, where the event trigger is burials. The roles to extract include participant, participant, deceased, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['participant: they', 'participant: they', 'deceased: their dead', 'place: a place']
{“participant”: “they”, “participant”: null, “deceased”: “their dead”, “place”: “the spot”}



50
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

He even suggested that one leaked email , where a Politico columnist asked Podesta to fact - check part of a story he was writing , was evidence this is “ a media - rigged election . ” Unlike Clinton , Trump ’s polling numbers have only nosedived for the last two weeks since The Washington Post reported he once bragged about grabbing women “ by the pussy ” without their consent . In the last presidential debate , he promised to try to incarcerate Clinton if elected and tried to make an issue out of Bill Clinton ’s past sexual misconduct . He also said he had never sexually assaulted anyone — a remark that prompted ten women to publicly accuse him of sexual misconduct . His campaign ’s circumstances have only grown more dire since then , which means he ’s likely to feel completely liberated on the debate stage .

Now, you need to extract the arguments for the event type justice.arrestjaildetain.arrestjaildetain, where the event trigger is incarcerate. The roles to extract include jailer, detainee, crime, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['jailer: he', 'detainee: Clinton', 'crime: NULL', 'place: NULL']
{“jailer”: “he”, “detainee”: “Clinton”, “crime”: null, “place”: null}



60
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

Some 1.1 million refugees settled in Germany last year . In return , Ankara will receive billions of euros from the EU , while its citizens would also be given visa free travel to the Schengen zone , which encompasses most of Europe . The parliamentary vote was originally scheduled to take place a year ago to mark the centenary of the genocide , but due to concerns over the fallout with Turkey , Merkel ’s allies postponed the move . The mass killings began on April 24 , 1915 , when 250 Armenian intellectuals were detained by Ottoman authorities and later executed in their capital , Constantinople , present - day Istanbul . Most of the Ottoman Empire ’s Armenians were subsequently displaced , deported or placed in concentration camps , ostensibly for rebelling against the Ottomans and siding with Russia during the First World War .

Now, you need to extract the arguments for the event type life.die.deathcausedbyviolentevents, where the event trigger is genocide. The roles to extract include killer, victim, place, instrument. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['killer: Ottoman authorities', 'victim: 250 Armenian intellectuals', 'place: their capital , Constantinople , present - day Istanbul', 'instrument: NULL']
{“killer”: “Ottoman authorities”, “victim”: “Armenians”, “place”: “Constantinople”, “instrument”: null}



70
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

' You have become so hardened , you have eliminated so many of us . Look I am a suicide bomber , I will die , doomsday will come in a second . ' She pulled the severed head out of a bag and walked near the metro station entrance in north - west Moscow . Video of the dead girl 's mother , Ekaterina Meshcheryakova , collapsing in the street upon hearing the horrific news has emerged . She was taken to hospital in an unconscious condition .

Now, you need to extract the arguments for the event type movement.transportperson.selfmotion, where the event trigger is walked. The roles to extract include transporter, origin, vehicle, destination. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['transporter: a suicide bomber', 'origin: the metro station entrance in north - west Moscow', 'vehicle: NULL', 'destination: NULL']
{“transporter”: “she”, “origin”: null, “vehicle”: null, “destination”: “near the metro station entrance”}



80
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

Poll : Clinton Ahead in North Carolina ; Virtual Tie in Ohio Other co - conspirators named by Trump earlier in the week included “ crooked ” public pollsters who showed Trump losing , election officials and “ other communities ” in swing states threatening to rig ballots , and a “ sinister deal ” involving Speaker Paul Ryan that Trump did not elaborate upon . It seems everyone is in the dark secret society out to wreck Trump , with the exception of the person caught on tape saying he uses his celebrity status to “ grab ‘ em by the p --- y . ” Or the person who told Howard Stern that his visits to young women ’s dressing rooms were a side benefit of owning beauty pageants . Play Facebook

Now, you need to extract the arguments for the event type artifactexistence.damagedestroy.n/a, where the event trigger is wreck. The roles to extract include damagerdestroyer, artifact, instrument, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['damagerdestroyer: dark secret society', 'artifact: Trump', 'instrument: NULL', 'place: NULL']
{“damagerdestroyer”: “everyone”, “artifact”: “Trump”, “instrument”: null, “place”: null}



90
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

The next day , the underlying Energy Department spending bill collapsed on the House floor because many conservatives with concerns about religious freedom exemptions would n’t vote for it with Maloney ’s amendment attached . Most Democrats also opposed the bill ’s spending levels and other GOP amendments to counter Maloney ’s proposal . After those two incidents , Speaker Paul Ryan Paul RyanRepublicans and the lost promise of local control in education Ryan seeks manufacturing muscle for tax push Overnight Finance : Ryan seeks manufacturing muscle for tax reform | Warren targets Wells Fargo board | Senators raise concerns over Russian takeover of Citgo | Pelosi hits GOP for budget delays MORE ( R - Wis . ) decided to limit which amendments to spending bills get votes in order to prevent the entire appropriations process from being jeopardized . Most bills considered in the House are typically done so under a limited amendment process , but appropriations bills have been the exception until recently . In an appearance before the House Rules Committee to make the case for his amendment , Maloney compared his proposal to last year ’s racially motivated shooting at a historic black church in Charleston , S.C. , that led to restrictions on displaying the Confederate flag .

Now, you need to extract the arguments for the event type manufacture.artifact.n/a, where the event trigger is manufacturing. The roles to extract include artifact, instrument, manufacturer, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['artifact: tax reform', 'instrument: muscle', 'manufacturer: NULL', 'place: NULL']
{“artifact”: “muscle”, “instrument”: null, “manufacturer”: null, “place”: null}



100
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

Attempted to assassinate Cuban president Fidel Castro on numerous occasions , not only in Cuba , but in Panama , Dominican Republic and Venezuela . In one scheme after another in recent years , Washington ’s Agency for International Development ( AID ) endeavored to cause dissension in Cuba and/or stir up rebellion , the ultimate goal being regime change . In 1999 a Cuban lawsuit demanded $ 181.1 billion in US compensation for death and injury suffered by Cuban citizens in four decades “ war ” by Washington against Cuba . Cuba asked for $ 30 million in direct compensation for each of the 3,478 people it said were killed by US actions and $ 15 million each for the 2,099 injured . It also asked for $ 10 million each for the people killed , and $ 5 million each for the injured , to repay Cuban society for the costs it has had to assume on their behalf .

Now, you need to extract the arguments for the event type contact.commandorder.broadcast, where the event trigger is demanded. The roles to extract include communicator, recipient, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['communicator: Cuban lawsuit', 'recipient: US compensation', 'place: NULL']
{“communicator”: “Cuba”, “recipient”: “US”, “place”: “Cuba”}



110
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

Last week , WikiLeaks published other hacked emails from Podesta ’s account , which included alleged excerpts of Clinton ’s paid speeches to Wall Street . Clinton ’s campaign has neither confirmed nor denied the authenticity of the emails , but in recent days escalated its charge that the hack was conducted by Russian state actors . Brian Fallon , a spokesman for Clinton ’s campaign , fired off a tweet storm late on Monday in which he assailed WikiLeaks and its founder , Julian Assange , for working on behalf of the Russian government . “ You are no media organization , ” Fallon tweeted at WikiLeaks . “ You are a propaganda arm of the Russian government , running interference for their pet candidate , Trump .

Now, you need to extract the arguments for the event type conflict.attack.n/a, where the event trigger is assailed. The roles to extract include attacker, target, instrument, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['attacker: he', 'target: Julian Assange', 'instrument: NULL', 'place: NULL']
{“attacker”: “Brian Fallon”, “target”: “WikiLeaks and its founder, Julian Assange”, “instrument”: null, “place”: null}



120
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

_ _ _ 7 p.m. Police in Calais have dispersed a rowdy anti - migrant protest with tear gas after clashes with protesters and detained several far - right demonstrators . Around 150 militants from the anti - Islam , anti - immigration group PEDIGA gathered Saturday at the northern French city chanting slogans like : “ We must not let Calais die ! ” Calais has been a focal point for migrants who want to slip into Britain via the Channel Tunnel .

Now, you need to extract the arguments for the event type movement.transportartifact.preventexit, where the event trigger is detained. The roles to extract include preventer, transporter, destination, artifact, origin. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['preventer: Police', 'transporter: a rowdy anti - migrant protest', 'destination: Calais', 'artifact: NULL', 'origin: NULL']
{“preventer”: “Police”, “transporter”: null, “destination”: “Britain”, “artifact”: “migrants”, “origin”: “Calais”}



130
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

Hillary Clinton ( while Secretary of State ) tried the ‘ reset ’ and it failed , and we need to see what we can do in the future . ” After numerous questions about Mr. Trump ’s comments to the media , Sen. Sessions finally shot back that at least “ Trump takes these interviews all the time , unlike Hillary Clinton , who hides from the press . ” Prior to a brief media availability on Sunday , Mrs. Clinton had gone 239 days without speaking to the press .

Now, you need to extract the arguments for the event type contact.discussion.meet, where the event trigger is interviews. The roles to extract include participant, participant, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['participant: Trump', 'participant: media', 'place: NULL']
{“participant”: “Trump”, “participant”: “the press”, “place”: null}



140
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

* DOES CLINTON HAVE ‘ WALKING PNEUMONIA’ ? NBC News speculates that Clinton could be suffering from a “ near - textbook case ” of “ walking pneumonia , ” which entails this : Patients do n’t feel great , but they ’re not sick enough to stay home in bed or to be hospitalized … .People often feel well enough to go about their business , especially once they start taking antibiotics … But the infection can take a toll , making patients prone to getting tired and dehydrated . Meanwhile , experts see no reason to think this will be debilitating for Clinton . * DEMOCRATS WORRY ABOUT HILLARY ’S PNEUMONIA : Reuters reports that Democrats are worried about Clinton ’s Pneumonia for two reasons , beyond her well - being : First , does her campaign ’s failure to divulge the illness for two days signal again that her penchant for secrecy is working against her ?

Now, you need to extract the arguments for the event type life.injure.illnessdegradationhungerthirst, where the event trigger is dehydrated. The roles to extract include victim, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['victim: patients', 'place: NULL']
{“victim”: “patients”, “place”: null}



150
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

Since then , Honduras ’s human rights situation has worsened , driving thousands of children to flee northward seeking safety and leaving environmental and political activists at the mercy of death squads . Also , in 2009 , Clinton joined with Bush - holdover Defense Secretary Robert Gates and neocon - favorite Gen. David Petraeus in pushing Obama into a major escalation of the Afghan War , a counter - insurgency “ surge ” that sent another 1,000 American troops to their deaths – and many more Afghans – but has since been abandoned as a failure . In 2011 , Clinton joined with “ liberal interventionists ” in again pushing Obama into a “ regime change ” war in Libya that led to the overthrow and torture - murder of Muammar Gaddafi – which she gleefully welcomed with the quip , “ We came , we saw , he died ” – but has since turned the once relatively prosperous North African country into a failed state with the Islamic State gaining another foothold . Both as Secretary of State and since her departure in 2013 , Clinton has pressed to escalate the “ regime change ” war in Syria , seeking a “ no - fly zone ” that would require the U.S. military to destroy the Syrian government ’s air force and air defenses , apparently without regard to the risk that the U.S. intervention could pave the way for Al Qaeda ’s Nusra Front and/or the Islamic State to march into Damascus . Though the Syrian “ regime change ” strategy that Clinton has advocated has failed to oust President Bashar al - Assad , it has transformed another reasonably functional Mideast state into a bloody killing field and driven millions of refugees into what is now a destabilized Europe .

Now, you need to extract the arguments for the event type life.die.deathcausedbyviolentevents, where the event trigger is murder. The roles to extract include victim, place, killer, instrument. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['victim: Muammar Gaddafi', 'place: Libya', 'killer: NULL', 'instrument: NULL']
{“victim”: “Muammar Gaddafi”, “place”: “Libya”, “killer”: null, “instrument”: “torture”}



160
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

The infection has resurfaced in western Siberia 75 years after the previous outbreak . The child died in hospital in the city of Salekhard , the capital of the Yamalo - Nenetsk Autonomous Area , where quarantine over the anthrax outbreak was declared last week . The boy was among several dozen indigenous people evacuated from the contaminated area . “ We are 90 percent sure that he died from anthrax . He had the intestinal form of the disease , which is harder to diagnose , ” the office of Yamal Governor Dmitry Kobylkin told TASS .

Now, you need to extract the arguments for the event type movement.transportperson.n/a, where the event trigger is evacuated. The roles to extract include passenger, origin, transporter, vehicle, destination. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['passenger: boy', 'origin: Salekhard', 'transporter: NULL', 'vehicle: NULL', 'destination: NULL']
{“passenger”: “indigenous people”, “origin”: “the contaminated area”, “transporter”: null, “vehicle”: null, “destination”: null}



170
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

Turkish President Tayyip Erdogan attends a joint news conference with his Russian counterpart Vladimir Putin ( not pictured ) following their meeting in Istanbul , Turkey , October 10 , 2016 . REUTERS / Osman Orsal ANKARA President Tayyip Erdogan warned Iraq 's prime minister he should " know his limits " after he criticized Turkey 's military presence there and said the Turkish army , shaken by a failed coup bid , had not lost so much standing as to take orders from him .

Now, you need to extract the arguments for the event type contact.discussion.n/a, where the event trigger is meeting. The roles to extract include participant, participant, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['participant: Tayyip Erdogan', 'participant: Vladimir Putin', 'place: Istanbul , Turkey']
{“participant”: “Tayyip Erdogan”, “participant”: “Vladimir Putin”, “place”: “Istanbul”}



180
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

“ It ’s one of the great five - star hotels . It ’s New York all the way . ” > > > > The sultan had indeed expressed interest in the hotel package , analysts said , but was dealing with other issues : His Beverly Hills and Bel - Air hotels in Los Angeles had become the subject of boycotts after he instituted laws in Brunei that permitted the stoning of gay people and adulterers . This week , the Human Rights Campaign threatened to extend the boycotts to the Plaza if the sultan were to acquire the property . > > > > There had been whispers of other potential international buyers taking a look at the Plaza and the other hotels in Mr. Roy ’s portfolio . Prince Al - Waleed bin Talal of Saudi Arabia — a billionaire investor who already owns a slice of the Plaza as well as stakes in the Ritz Carlton and Fairmont chains — was supposedly among those who were interested .

Now, you need to extract the arguments for the event type transaction.transfermoney.embargosanction, where the event trigger is boycotts. The roles to extract include preventer, giver, recipient, money, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['preventer: the Human Rights Campaign', 'giver: the sultan', 'recipient: the property', 'money: the sultan', 'place: Los Angeles']
{“preventer”: “Human Rights Campaign”, “giver”: null, “recipient”: null, “money”: null, “place”: “Plaza”}



190
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

State - owned Russian energy giant Rosneft is the lead investor in a $ 12.9 billion buyout of India 's Essar Oil that was announced over the weekend . Russian investment group United Capital Partners ( UCP ) has also snapped up a stake . The purchase of the oil refiner gives Russia more muscle in India at a time when its demand for energy is booming . " Rosneft is entering one of the most promising and fast - growing world markets , " CEO Igor Sechin said in a statement . India is already the world 's third - largest oil importer , and its demand will jump by more than 300,000 barrels per day this year , according to the International Energy Agency .

Now, you need to extract the arguments for the event type transaction.transferownership.purchase, where the event trigger is purchase. The roles to extract include giver, recipient, beneficiary, artifact, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['giver: Russia', 'recipient: India', 'beneficiary: Russia', 'artifact: oil refiner', 'place: India']
{“giver”: “Essar Oil’s owners”, “recipient”: “Rosneft”, “beneficiary”: “Russia”, “artifact”: “Essar Oil”, “place”: “India”}



200
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

Maybe Ng figured all that stateside fuss about the Clintons was forgotten when he made a series of brief trips to New York with suitcases of cash on a total of 10 occasions between July 12 , 2013 , and July 5 of this year . The amounts ranged from $ 200,000 to $ 900,000 , for a total in excess of $ 4.5 million . Ng may also have assumed that the feds could not prove otherwise when he told them the money was variously intended for gambling , acquiring real estate , and purchasing art and antiques . The FBI set to work . “ In truth and in fact the more than $ 4.5 million in cash was not principally used for or intended to be used for these purposes , ” the FBI concluded in the resulting criminal complaint filed last month .

Now, you need to extract the arguments for the event type transaction.transfermoney.purchase, where the event trigger is purchasing. The roles to extract include giver, recipient, place, beneficiary, money. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['giver: he', 'recipient: the money', 'place: New York', 'beneficiary: NULL', 'money: NULL']
{“giver”: “Ng”, “recipient”: null, “place”: “New York”, “beneficiary”: null, “money”: “$ 900,000”}



210
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

A second rebel familiar with the preparations said around 1,500 fighters were now gathered at a location in Turkey to take part . " The plan is to take Jarablus and expand south ... so as to abort any attempt by the Kurds to move north ... and so that Kurds do n't take more villages , " he said . The leader of the newly declared " Jarablus military council " , set up with the aim of mounting its own campaign to seize Jarablus with SDF support , was assassinated on Monday , the Observatory said . A Kurdish official said two " agents of Turkey " had been detained over the killing . ( Additional reporting by Suleiman al - Khalidi in Amman , Daren Butler and Asli Kandemir in Istanbul , Umit Ozdal in Karkamis , Turkey and David Alexander and Arshad Mohammed in Washington ; Editing by Dominic Evans and Alistair Bell )

Now, you need to extract the arguments for the event type life.die.n/a, where the event trigger is assassinated. The roles to extract include victim, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['victim: leader', 'place: Jarablus']
{“victim”: “the leader of the newly declared Jarablus military council”, “place”: “null”}



220
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

But the weaker regulations also make it potentially easier for arms smugglers and human rights abusers to get their hands on US arms . For example , 36 US allies — from Argentina and Bulgaria to Romania and Turkey — will no longer need licenses from the State Department to import weapons and weapons parts from the United States . This will make it far easier for smuggling networks to set up front companies in such countries and get US arms and arms components that they can then pass on to third parties like Iran or China . Already a common practice , it will only increase under the new regulations . The degree to which the Obama administration has been willing to bend over backward to help weapons exporters was underscored at a 2013 hearing on those administration export “ reforms . ” Tom Kelly , then the deputy assistant secretary of the State Department ’s Bureau of Political - Military Affairs , caught the spirit of the era when asked whether the administration was doing enough to promote American arms exports .

Now, you need to extract the arguments for the event type movement.transportartifact.hide, where the event trigger is smuggling. The roles to extract include transporter, artifact, origin, hidingplace, vehicle. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['transporter: networks', 'artifact: arms and arms components', 'origin: US', 'hidingplace: NULL', 'vehicle: NULL']
{“transporter”: “smuggling networks”, “artifact”: “US arms and arms components”, “origin”: “the United States”, “hidingplace”: “front companies”, “vehicle”: null}



230
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

Edward Snowden , the man at the heart of the NSA information leaks , is nothing but a “ traitor ” — and America ought to recreate history in dealing with him , real estate mogul Donald Trump said on a “ Fox & Friends ” interview . In other words , execute him , Mr. Trump implied . “ I think Snowden is a terrible threat , I think he ’s a terrible traitor , and you know what we used to do in the good old days when we were a strong country — you know what we used to do to traitors , right ? ” Trump said , Politico reported . “ Well , you killed them , Donald , ” said fill - in host , Eric Bolling .

Now, you need to extract the arguments for the event type justice.judicialconsequences.n/a, where the event trigger is execute. The roles to extract include judgecourt, defendant, crime, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['judgecourt: Mr. Trump', 'defendant: him', 'crime: NULL', 'place: NULL']
{“judgecourt”: null, “defendant”: “Edward Snowden”, “crime”: “traitor”, “place”: null}



240
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

Her only competition is President Barack Obama . " Trump first made the assertion in a speech on Wednesday night in Florida , saying , " I call them co - founders " of Islamic State . In an interview on Thursday morning , Trump defended the remarks . " Is there something wrong with saying that ? " Trump told CNBC .

Now, you need to extract the arguments for the event type contact.discussion.n/a, where the event trigger is interview. The roles to extract include participant, participant, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['participant: Trump', 'participant: CNBC', 'place: NULL']
{“participant”: “Trump”, “participant”: “CNBC”, “place”: “Thursday morning”}



250
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

A recent opinion poll showed two thirds of Turks agree with their president that Gulen was behind the coup plot . Turkey has been holding almost daily mass rallies since July 15 in support of democracy and the government and against the plotters . Authorities have suspended , detained or put under investigation tens of thousands of people in the armed forces , the judiciary , civil service and elsewhere since the coup , in which a faction of the military commandeered warplanes , helicopters and tanks in an attempt to topple the government . On Tuesday Bozdag put the number of people now formally arrested awaiting trial at 16,000 , adding that a further 6,000 detainees were still being processed . Another 7,668 people are under investigation but have not been detained , he said .

Now, you need to extract the arguments for the event type conflict.attack.stealrobhijack, where the event trigger is commandeered. The roles to extract include attacker, target, place, artifact, instrument. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['attacker: faction of the military', 'target: warplanes , helicopters and tanks', 'place: Turkey', 'artifact: government', 'instrument: NULL']
{“attacker”: “a faction of the military”, “target”: null, “place”: null, “artifact”: “warplanes, helicopters and tanks”, “instrument”: null}



260
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

> > > > “ It ’d be a shame for anything to happen to the Plaza , ” said Sumner A. Baye , a veteran hotel consultant who happened to be sitting at a table in the hotel ’s mahogany - paneled Rose Room overlooking the lobby on Monday . “ It ’s one of the great five - star hotels . It ’s New York all the way . ” > > > > The sultan had indeed expressed interest in the hotel package , analysts said , but was dealing with other issues : His Beverly Hills and Bel - Air hotels in Los Angeles had become the subject of boycotts after he instituted laws in Brunei that permitted the stoning of gay people and adulterers . This week , the Human Rights Campaign threatened to extend the boycotts to the Plaza if the sultan were to acquire the property . > > > > There had been whispers of other potential international buyers taking a look at the Plaza and the other hotels in Mr. Roy ’s portfolio .

Now, you need to extract the arguments for the event type transaction.transaction.embargosanction, where the event trigger is boycotts. The roles to extract include preventer, artifactmoney, place, giver, recipient. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['preventer: Human Rights Campaign', 'artifactmoney: Beverly Hills and Bel - Air hotels', 'place: Los Angeles', 'giver: NULL', 'recipient: NULL']
{“preventer”: “Human Rights Campaign”, “artifactmoney”: null, “place”: “Beverly Hills and Bel-Air”, “giver”: null, “recipient”: “the sultan”}



270
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

Read more : The stealthy , nefarious way an ex - KGB officer was murdered in London Full report : Russian President Vladimir Putin implicated in fatal poisoning of former KGB operative Russian tycoon found dead in Britain after falling out with Putin The ancient art of poisoning

Now, you need to extract the arguments for the event type conflict.attack.biologicalchemicalpoisonattack, where the event trigger is poisoning. The roles to extract include attacker, target, instrument, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['attacker: Russian President Vladimir Putin', 'target: former KGB operative', 'instrument: poisoning', 'place: London']
{“attacker”: “Vladimir Putin”, “target”: “Russian tycoon”, “instrument”: “poisoning”, “place”: “Britain”}



280
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

( CNN ) The United States and Russia have announced a plan to bring about a ceasefire in Syria , US Secretary of State John Kerry said . " Today we are announcing an arrangement that we think has the capability of sticking , but it 's dependent on people 's choices , " Kerry said Friday in Geneva , Switzerland , appearing alongside Russian Foreign Minister Sergey Lavrov . Kerry said the pact calls for the Syrian government and the opposition to respect a nationwide ceasefire scheduled to take effect at sundown Monday . The Syrian regime announced its support of the ceasefire deal Saturday , according to the state - run al - Ikhbariya TV . Secretary of State John Kerry and Russian Foreign Minister Sergey Lavrov unveil the new plan Friday .

Now, you need to extract the arguments for the event type government.agreements.acceptagreementcontractceasefire, where the event trigger is ceasefire. The roles to extract include participant, participant, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['participant: Kerry', 'participant: Russian Foreign Minister Sergey Lavrov', 'place: Geneva , Switzerland']
{“participant”: “the Syrian government”, “participant”: “the opposition”, “place”: “Syria”}



290
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

The Russian embassy in Pyongyang made the announcement this week that 2,394 tons of flour and other food items have been sent to the North Korean port city of Chongjin , Sputnik news agency reported Thursday . The flour was sent through the United Nations World Food Program and was made possible with a Russian donation , according to South Korean news agency Yonhap . This is the second time in 2016 Russia has delivered a shipment . In March , Moscow provided funds for the delivery of 2,500 tons of flour to North Korea . The flour is to be used to produce nutritious biscuits and cereals that can be distributed to child daycare centers in North Hamgyong and Kangwon provinces , according to the report .

Now, you need to extract the arguments for the event type movement.transportperson.disperseseparate, where the event trigger is shipment. The roles to extract include transporter, origin, destination, passenger, vehicle. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['transporter: Russia', 'origin: Russia', 'destination: North Korea', 'passenger: NULL', 'vehicle: NULL']
{“transporter”: “Russia”, “origin”: “Russia”, “destination”: “North Korean port city of Chongjin”, “passenger”: “2,394 tons of flour and other food items”, “vehicle”: null}



300
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

“ There are plenty of fakes now — from counterfeit paintings of brilliant artists to quotations falsely attributed to famous people . It is no wonder we fell for it , ” he said . Kiselyov did not apologize for misleading viewers , but used the situation to once again mention the fact that some Ukrainians fought alongside Nazi Germany and said he is thankful for “ such artifacts , even if they are made in our time ” for “ reminding us about true history . “ Last month , Kiselyov showed a trailer of the movie titled the “ Browder Effect , ” which portrays Russian opposition politician Alexei Navalny as a paid agent of the British - American investor William Browder .

Now, you need to extract the arguments for the event type contact.prevarication.broadcast, where the event trigger is misleading. The roles to extract include communicator, recipient, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['communicator: Kiselyov', 'recipient: viewers', 'place: NULL']
{“communicator”: “Kiselyov”, “recipient”: “viewers”, “place”: null}



310
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

“ It ’s clear that the attorney general , who serves at the pleasure of President Obama , is going to have very little incentive or intention to pursue the appropriate investigation , ” Sen. John Cornyn John CornynDems step up attacks on GOP ObamaCare bill Overnight Finance : Warren to Fed : Kick out Wells Fargo board | Senators raise questions about Russian takeover of Citgo | Pelosi bashes GOP on budget Senators ask administration to probe possible Russian takeover of Citgo MORE ( Texas ) , the No . 2 Senate Republican , said on the chamber floor this week . Other Senate Republicans , including Chuck Grassley Chuck GrassleySenate GOP shifts focus to Lynch Grassley welcomes Trump ’s rescheduled Iowa rally Grassley rankles GOP with new Comey investigation MORE ( R - Iowa ) and Ron Johnson Ron JohnsonWeek ahead : Senate work on ObamaCare repeal intensifies Senators wrestle with transparency in healthcare debate ObamaCare repeal and the Senate : Where it stands MORE ( R - Wis . ) have launched their own investigations related to Clinton ’s email . Some of their findings , Grassley said this week , were at odds with those of the State Department ’s inspector general report . “ I will follow up to get to the bottom of these discrepancies because misrepresenting the facts to Congress is unacceptable , ” Grassley pledged .

Now, you need to extract the arguments for the event type contact.discussion.correspondence, where the event trigger is debate. The roles to extract include participant, participant, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['participant: Senators', 'participant: Senators', 'place: Senate']
{“participant”: “Senators”, “participant”: “GOP”, “place”: “the chamber floor”}



320
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

“ I do still plan to vote for the orange buffoon . He is a ridiculous egomaniac who has found the recipe for stirring up support among discontented voters , ” said a manager from South Carolina . “ My only regret is that I wo n’t be able to say that I cast a vote for the first woman to ever hold the presidency , but I have little doubt she will win . By the way , my 20-year - old self would be appalled by the complete political cynicism of my 52-year - old self , ” he added . A 20-year - old Arab student from Missouri says he backs Trump because he ’s flipped US politics .

Now, you need to extract the arguments for the event type government.vote.n/a, where the event trigger is vote. The roles to extract include voter, candidate, ballot, result, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['voter: I', 'candidate: first woman to ever hold the presidency', 'ballot: NULL', 'result: NULL', 'place: NULL']
{“voter”: “a manager from South Carolina”, “candidate”: “the orange buffoon”, “ballot”: null, “result”: null, “place”: null}



330
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

According to this report , the Bank for International Settlements is the world ’s oldest international financial organization and acts as a prime counterparty for central banks in their financial transactions ; the Qatar Central Bank is the bank of that Gulf State nations government and their “ bank of banks ” ; JP Morgan Chase & Company is the United States largest “ megabank ” ; and the Clinton Foundation is an international criminal money laundering organization whose clients include the Russian mafia . With Hillary Clinton ’s US presidential campaign Chairman John Podesta having longstanding ties to the Russian mafia and money laundering , this report continues , the Foreign Intelligence Service ( SVR ) maintains “ complete / all times / all ways ” surveillance of him and his criminal associates — including both Hillary Clinton and her husband , and former US President , Bill Clinton , and who are collectively designated as the “ Clinton Crime Family ” . On Saturday 15 October ( 2016 ) , this report notes , the SVR reported to the MoF that Hillary Clinton and John Podesta met with JP Morgan Chase & Company CEO Jamie Dimon at Clinton ’s Chappaqua Compound outside of New York City — and who , in 2009 , both President Obama and Hillary Clinton allowed to break US laws by his , Dimon ’s , being able to buy millions - of - dollars of his company ’s stocks prior to the public being told his JP Morgan bank was receiving a Federal Reserve $ 80 billion credit line — and that caused JP Morgan ’s stocks to soar and that have had an astonishing 920 % dividend growth since 2010 . Within 12 hours of the Hillary Clinton - John Podesta - Jamie Dimon meeting at the Chappaqua Compound , this report continues , the BIS registered the transfer of $ 1.8 billion from the Clinton Foundation to the Qatar Central Bank . To why the Clinton Foundation transferred this enormous sum of money to Qatar , this report explains , is due to the longstanding ties between this Islamic neo - patrimonial absolute monarchy and then US Secretary of State Hillary Clinton who “ oversaw / managed ” the “ massive bribery scheme ” that allowed this Gulf State nation to secure the 2022 World Cup — and that the Qataris were so appreciative of they donated millions to the Clinton Foundation , and incredibly , in 2011 , gave former US President Bill Clinton $ 1 million for a birthday present — bringing Hillary Clinton ’s total “ cash grab ” from these Persian Gulf sheiks of $ 100 million — all occurring as recently released secret emails revealed Hillary Clinton ’s knowledge that both Qatar and Saudi Arabia were , and still are , funding ISIS .

Now, you need to extract the arguments for the event type transaction.transfermoney.purchase, where the event trigger is buy. The roles to extract include giver, money, recipient, beneficiary, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['giver: Dimon', 'money: millions', 'recipient: NULL', 'beneficiary: NULL', 'place: NULL']
{“giver”: “President Obama and Hillary Clinton”, “money”: “millions-of-dollars”, “recipient”: “Jamie Dimon”, “beneficiary”: null, “place”: null}



340
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

One way to answer the question was to figure out how he even got on that list to begin with . One source suggested to me that Richard Burt , former U.S. ambassador to Germany , START treaty negotiator , and longtime lobbyist for Alfa Bank , was the nexus . It was Burt who helped draft Trump ’s foreign policy speech in April , and had been advising the Trump campaign , via Senator Jeff Sessions , on foreign policy . But when I met Burt at his office at the McLarty Associates lobbying shop , he looked at me and said he had never even met him . “ The only person I talked to about Carter Page is this guy at the Washington Post , ” Burt told me .

Now, you need to extract the arguments for the event type contact.requestadvise.correspondence, where the event trigger is advising. The roles to extract include communicator, recipient, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['communicator: Richard Burt', 'recipient: the Trump campaign', 'place: NULL']
{“communicator”: “Richard Burt”, “recipient”: “the Trump campaign”, “place”: null}



350
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

However , those with loosing bids “ Lose Lose , ” it said , because they would not receive their money back . And should the total sum of the bids , in bitcoins , reach the equivalent of half a billion dollars , the group would make the whole lot public . While the “ auction ” seemed tongue in cheek , more like hacktivists than Russian high command , the sample documents were almost certainly real . The draft of a top - secret NSA manual for implanting offensive malware , released by Edward Snowden , contains code for a program codenamed SECONDDATE . That same 16-character string of numbers and characters is in the code released by the Shadow Brokers .

Now, you need to extract the arguments for the event type transaction.transfermoney.purchase, where the event trigger is auction. The roles to extract include giver, recipient, beneficiary, money, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['giver: they', 'recipient: half a billion dollars', 'beneficiary: the group', 'money: half a billion dollars', 'place: NULL']
{“giver”: null, “recipient”: null, “beneficiary”: “the group”, “money”: “the total sum of the bids, in bitcoins”, “place”: null}



360
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

ADVERTISEMENT " There are absolutely some carriers that are going to have to come in with some pretty significant price hikes to make up for the underpricing that they did before , ” said Sabrina Corlette , a professor at Georgetown University ’s Center on Health Insurance Reforms , while noting that the final picture remains unclear . Insurers are already making the case for premium increases , pointing to a pool of enrollees that is smaller , sicker and costlier than they expected . The Blue Cross Blue Shield Association released a widely publicized report last month that said new enrollees under ObamaCare had 22 percent higher medical costs than people who received coverage through their employers . “ The industry is clearly setting the stage for bigger premium increases in 2017 , ” said Larry Levitt , an expert on the health law at the Kaiser Family Foundation .

Now, you need to extract the arguments for the event type life.injure.illnessdegradationphysical, where the event trigger is sicker. The roles to extract include victim. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['victim: enrollees']
{“victim”: “enrollees”}



370
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

Paul Manafort and his deputy , Rick Gates , never disclosed their work as foreign agents as required under federal law . The lobbying included attempts to gain positive press coverage of Ukrainian officials in The New York Times , The Wall Street Journal and The Associated Press . Another goal : undercutting American public sympathy for the imprisoned rival of Ukraine 's then - president . At the time , European and American leaders were pressuring Ukraine to free her . Gates personally directed the work of two prominent Washington lobbying firms in the matter , the emails show .

Now, you need to extract the arguments for the event type movement.transportperson.preventexit, where the event trigger is imprisoned. The roles to extract include passenger, preventer, transporter, origin, destination. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




["passenger: rival of Ukraine 's then - president", 'preventer: NULL', 'transporter: NULL', 'origin: NULL', 'destination: NULL']
{“passenger”: “her”, “preventer”: “Ukraine’s then-president”, “transporter”: null, “origin”: null, “destination”: null}



380
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

Something of a trade contest has emerged between the United States ’ TPP initiative versus China ’s countervailing RCEP initiative . The TPP represents an important component of America ’s ‘ Asian pivot ’ as it aims to tie up key economic partners under rules which are favourable to the United States . Certainly , the United States ’ hijacking of the TPP process , from initially being outside the negotiations to taking on a leadership role , suggests that there is a sense for the United States to use its power advantage before it is rivalled by China and others ( possibly India , for example ) . China ’s motivation for the RCEP is similarly about maximising its power . However , whereas the United States appears motivated because of its declining power , China ’s motivation clearly stems from its rising power .

Now, you need to extract the arguments for the event type conflict.attack.n/a, where the event trigger is hijacking. The roles to extract include attacker, target, instrument, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['attacker: United States', 'target: TPP process', 'instrument: hijacking', 'place: NULL']
{“attacker”: “the United States”, “target”: “the TPP process”, “instrument”: null, “place”: null}



390
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

ADVERTISEMENT Trump , who 's led a remarkably provocative campaign since launching his bid last summer , has grown only more combative since solidifying the Republican nomination at the party 's national convention in Cleveland last month . In recent weeks , the Manhattan billionaire has attacked the family of a slain U.S. soldier , defended Russian aggression in the Baltics , kicked a crying baby out of a campaign event and suggested that gun enthusiasts could somehow prevent Hillary Clinton Hillary Rodham ClintonGOP fires opening attack on Dem reportedly running for Heller 's Senate seat Trump seeks tech 's help for government IT overhaul What do Democrats stand for ? MORE from appointing liberal judges . The episodes have defied the hopes and predictions of national Republican leaders , who were expecting Trump to soften his tone as he shifted his sights from the GOP primary to the bigger stage of the general election .

Now, you need to extract the arguments for the event type conflict.attack.selfdirectedbattle, where the event trigger is attacked. The roles to extract include attacker, target, instrument, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['attacker: billionaire', 'target: family of a slain U.S. soldier', 'instrument: NULL', 'place: NULL']
{“attacker”: “Trump”, “target”: “the family of a slain U.S. soldier”, “instrument”: null, “place”: null}



400
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

But Assange , in an interview with a Dutch news program highlighted by the conspiracy website InfoWars , implied Rich was the source of the email and was killed for working with his group “ Whistleblowers often take very significant efforts to bring us material and often at very significant risks , ” Assange said in the interview , before bringing up , unpromoted , that Rich was killed “ for unknown reasons . ” When the interviewer pressed Assange by noting Rich ’s death was “ just a robbery , ” Assange replied , “ No . There ’s no finding . ” Asked what he was suggesting , Assange replied , “ I ’m suggesting that our sources take risks ... We are concerned about it . ”

Now, you need to extract the arguments for the event type conflict.attack.n/a, where the event trigger is robbery. The roles to extract include target, attacker, instrument, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['target: Rich', 'attacker: NULL', 'instrument: NULL', 'place: NULL']
{“target”: “Rich”, “attacker”: null, “instrument”: null, “place”: null}



410
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

We have to force local and state governments to address this specific reality that face black youth and black working - class people in general . While we struggle , we have to build structures , and one of the structures there for the taking is , in fact , the Green Party structure . What I 'm engaged in right now is a Green Party Southern strategy where we suggest to specifically black folks in the South that you have an instrument that can be used if you want to challenge the power of the Democrats in the various states to mount a real opposition to the control of the Republicans . Even in those states where you have Republican political control , there 's still a lot of collaboration with the Democratic Party . People are comfortable playing that role and they 're not really providing a real challenge to these Republican governors .

Now, you need to extract the arguments for the event type contact.requestadvise.meet, where the event trigger is suggest. The roles to extract include communicator, recipient, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['communicator: we', 'recipient: black folks in the South', 'place: NULL']
{“communicator”: “I”, “recipient”: “black folks in the South”, “place”: “the South”}



420
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

It may not have been the choicest of venues for Donald Trump , as he disputes the charge that he is being played by Russian President Vladimir Putin . But there he was Thursday , being interviewed on Russia Today , the network funded by the Kremlin . Trump ’s campaign said it was all a big mistake . The interviewer was Larry King , whom Trump has known for years .

Now, you need to extract the arguments for the event type contact.discussion.n/a, where the event trigger is interviewed. The roles to extract include participant, participant, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['participant: he', 'participant: Russia Today', 'place: NULL']
{“participant”: “Donald Trump”, “participant”: “Larry King”, “place”: “Russia Today”}



430
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

But Trump 's comments earlier Wednesday suggested Russia might hand the emails over to the news media , as WikiLeaks did with hacked Democratic National Committee emails last week . As it did with the committee , that could cause major problems — except this time for a former top U.S. diplomat who could soon be president . And he has said previously in this campaign , without any evidence , that enemies of the United States " almost certainly " have accessed Clinton 's emails and are using them to blackmail her . So he 's clearly aware of that possibility . FBI Director James B. Comey said in rebuking Clinton 's use of the email server earlier this month that it 's indeed possible the server had been accessed — but that there was no evidence yet that it had happened .

Now, you need to extract the arguments for the event type contact.threatencoerce.n/a, where the event trigger is blackmail. The roles to extract include communicator, recipient, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['communicator: enemies', 'recipient: her', 'place: NULL']
{“communicator”: “enemies of the United States”, “recipient”: “Clinton”, “place”: null}



440
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

While I ca n't tell you exactly how many immigrants I favor , I can say with confidence that America can easily accommodate the people already living here and the levels of both legal and illegal immigration we 're seeing now . It can do so without imposing significant costs on native born Americans . In fact , for the vast majority of native born Americans , the costs that their ancestors imposed on the existing population when migrating legally were much greater than the costs today 's immigrants impose on anyone . The policies you sketch would , I think , lead to some " self - deportations . " But they would also increase regulatory costs for all businesses ; introduce new barriers and bureaucracies into even the smallest economic transactions ; create an underclass of non - citizens who were born here , leading to the sort of disaffected ethnic enclaves seen in France ; make criminals out of American citizens who just want to , say , keep the nanny who has helped raise their kids for their whole lives ; expand federal power at the cost of localities ; spark disruptive protests and riots in many major American cities ; make impoverished people who rely on remittances even poorer , sometimes with deadly consequences ; make our southern neighbor less stable as a second - order effect ; and make the lives of millions significantly worse with small or non - existent benefits for the policy 's ostensible winners .

Now, you need to extract the arguments for the event type movement.transportperson.n/a, where the event trigger is migrating. The roles to extract include passenger, transporter, vehicle, origin, destination. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['passenger: ancestors', 'transporter: NULL', 'vehicle: NULL', 'origin: NULL', 'destination: NULL']
{“passenger”: “ancestors”, “transporter”: null, “vehicle”: null, “origin”: null, “destination”: “America”}



450
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

He now lives in Italy , allegedly to finish his dissertation . Along with his sister , he is suspected of corruption and bribery . Bild also took note of last year ’s discoveries published by the British news outlet , The Guardian , which uncovered information indicating that Turkish businessmen are actively involved in various deals with Islamic State ( IS , formerly ISIL / ISIS ) terrorists , such as illegal oil smuggling . READ MORE : Turkey is key supplier of weapons , military hardware to ISIS - Russian envoy to UN “ One of them according to [ The Guardian ] data is Bilal Erdogan , ” Bild points out .

Now, you need to extract the arguments for the event type movement.transportartifact.n/a, where the event trigger is smuggling. The roles to extract include transporter, artifact, vehicle, origin, destination. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['transporter: Islamic State ( IS , formerly ISIL / ISIS ) terrorists', 'artifact: oil', 'vehicle: NULL', 'origin: NULL', 'destination: NULL']
{“transporter”: “Turkish businessmen”, “artifact”: “illegal oil”, “vehicle”: null, “origin”: null, “destination”: null}



460
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

For decades , wages of the middle and working classes have remained stagnant in the United States while the top earners have seen their wages grow exponentially . In the United States since the 2008 recession , nearly 99 percent of all new generated income has gone to the wealthiest 1 percent of Americans . Current trends suggest these enormous disparities in wealth are expanding . Amid calls for reform to redistribute wealth in the United States to the middle and working classes , criticism has mounted , stereotyping such reforms as " handouts , " " free stuff " or " socialist . " What these criticisms of proposed reforms for wealth inequality fail to recognize is that socialism for the wealthy not only exists , but is prevalent throughout our current system of government in the form of corporate socialism .

Now, you need to extract the arguments for the event type contact.requestadvise.meet, where the event trigger is suggest. The roles to extract include communicator, recipient, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['communicator: NULL', 'recipient: NULL', 'place: NULL']
{“communicator”: null, “recipient”: null, “place”: null}



470
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

At the same time , Trump has exploited the foundation for self - dealing . In 2014 , he drew on it to pay $ 10,000 for a painted portrait of you - know - who at a charity auction at Mar - a - Lago , his Florida resort and residence . The foundation also spent $ 20,000 for Melania Trump to purchase a 6-foot Donald portrait ; $ 12,000 to buy a Tim Tebow helmet at a charity auction ; and $ 258,000 to settle legal disputes and unpaid fines involving Trump ’s businesses . In 2013 , the Trump Foundation contributed $ 25,000 to an organization supporting Florida Attorney General Pam Bondi , after Bondi announced she was considering whether to join New York Attorney General Schneiderman ’s investigation of fraud at Trump University . It would be charitable to call Donald Trump a philanthropist .

Now, you need to extract the arguments for the event type transaction.transferownership.n/a, where the event trigger is auction. The roles to extract include giver, recipient, artifact, beneficiary, place. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['giver: foundation', 'recipient: charity auction', 'artifact: $ 12,000', 'beneficiary: NULL', 'place: NULL']
{“giver”: null, “recipient”: “Trump”, “artifact”: “a painted portrait of you-know-who”, “beneficiary”: null, “place”: “Mar-a-Lago”}



480
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

Under the circumstances , it should be obvious that trends in the global arms trade are a major news story and should be dealt with as such in the country most responsible for putting more weapons of a more powerful nature into the hands of those living in “ volatile ” regions . It ’s a monster business ( in every sense of the word ) and certainly has far more dangerous consequences than licensing a Hollywood blockbuster or selling another Boeing airliner . Historically , there have been rare occasions of public protest against unbridled arms trafficking , as with the backlash against “ the merchants of death ” after World War I , or the controversy over who armed Saddam Hussein that followed the 1991 Persian Gulf War . Even now , small numbers of congressional representatives , including John Conyers , Chris Murphy , and Kentucky Senator Rand Paul , continue to try to halt the sale of cluster munitions , bombs , and missiles to Saudi Arabia . There is , however , unlikely to be a genuine public debate about the value of the arms business and Washington ’s place in it if it is n’t even considered a subject worthy of more than an occasional media story .

Now, you need to extract the arguments for the event type movement.transportperson.smuggleextract, where the event trigger is trafficking. The roles to extract include transporter, passenger, destination, vehicle, origin. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['transporter: the global arms trade', 'passenger: arms', 'destination: Saudi Arabia', 'vehicle: NULL', 'origin: NULL']
{“transporter”: “merchants of death”, “passenger”: null, “destination”: “volatile regions”, “vehicle”: null, “origin”: null}



490
You are now an expert in event argument extraction for natural language processing tasks. Below is a news document, and your task is to extract the arguments based on the roles:

The president will outline his vision during remarks at a refugee summit on the sidelines of the United Nations General Assembly in New York , a city struck by terrorism on Saturday . ADVERTISEMENT Calls for Obama to reconsider his approach have been stirred anew by the latest attacks , which included homemade bombs in New York and New Jersey and stabbings in a Minnesota mall . The Islamic State in Iraq and Syria took credit for the Minnesota attack on Saturday reportedly carried out by Dahir Adan , a 22-year - old Somali - American who worked at a private security firm . Nine people were wounded in the stabbings ; Adan was shot and killed by an off - duty police officer .

Now, you need to extract the arguments for the event type conflict.attack.stabbing, where the event trigger is stabbings. The roles to extract include attacker, target, place, instrument. Please note the following:1. Some roles may not have corresponding arguments; in such cases, return null.
2. The extracted arguments should consist of one or more consecutive words that can be found in the news document.
3. The format of your output should be {"role1": "argument1", "role2": "argument2", ...}.




['attacker: Dahir Adan', 'target: Nine people', 'place: Minnesota mall', 'instrument: NULL']
{“attacker”: “Dahir Adan”, “target”: “nine people”, “place”: “a Minnesota mall”, “instrument”: “null”}