write entity recognition

docs/entityrecognition.md

@@ -0,0 +1,46 @@
+# Entity Recognition
+The entity recognition part is performed by using danish and english pre-trained models published by SpaCy. 
+
+## Model Links
+- Danish model: [https://spacy.io/models/da#da_core_news_lg](https://spacy.io/models/da#da_core_news_lg)
+- English model: [https://spacy.io/models/en#en_core_web_lg](https://spacy.io/models/en#en_core_web_lg)
+
+## Custom Danish Model
+The danish model has been trained on top of the danish pre-trained SpaCy model to improve its accuracy and be able to recognize literals. See [Pypi Repository](https://github.com/Knox-AAU/PreProcessingLayer_EntityRecognitionAndLinking/blob/main/docs/pypi.md) for more information on where to find the custom model.
+
+## Loading a SpaCy Model
+```python
+import en_core_web_lg
+import da_core_news_lg
+
+nlp_en = en_core_web_lg.load()
+nlp_da = da_core_news_lg.load()
+```
+
+> Full code available [here](https://github.com/Knox-AAU/PreProcessingLayer_EntityRecognitionAndLinking/blob/5fcd59bac0fbd91b2543d7d78a893f16da49f25f/components/GetSpacyData.py#L17#L18).
+
+## Performing Entity Recognition on Input
+The entity recognition is performed using either the `nlp_en` or `nlp_da` variable defined in [Loading a SpaCy Model](https://github.com/Knox-AAU/PreProcessingLayer_EntityRecognitionAndLinking/blob/main/docs/entityrecognition.md#loading-a-spacy-model).
+
+```python
+def GetTokens(text: str):
+    result = DetectLang(text)
+    if result == "da":
+        return nlp_da(text)
+    elif result == "en":
+        return nlp_en(text)
+    else:
+        raise UndetectedLanguageException()
+```
+
+> Full code available [here](https://github.com/Knox-AAU/PreProcessingLayer_EntityRecognitionAndLinking/blob/5fcd59bac0fbd91b2543d7d78a893f16da49f25f/components/GetSpacyData.py#L31#L38).
+
+The return type of this function is a [Doc](https://spacy.io/api/doc) containing information such as the entity's start and end index, the entity's belonging sentence, and so on.
+
+-----------
+<div style="text-align: right">
+    Up next:
+    <br>
+    <a href="https://github.com/Knox-AAU/PreProcessingLayer_EntityRecognitionAndLinking/blob/main/docs/entitylinker.md">Entity Linker</a>
+    <span class="pagination_icon__3ocd0"><svg class="with-icon_icon__MHUeb" data-testid="geist-icon" fill="none" height="24" shape-rendering="geometricPrecision" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" viewBox="0 0 24 24" width="24" style="color:currentColor;width:11px;height:11px"><path d="M9 18l6-6-6-6"></path></svg></span>
+</div>

docs/our-part-of-the-pipeline.md

@@ -12,7 +12,7 @@ Our part of the pipeline is concerned with Entity Recognition and Entity Linking
 See the [Getting started](https://github.com/Knox-AAU/PreProcessingLayer_EntityRecognitionAndLinking/blob/main/docs/gettingstarted.md) guide.
 
 ## The input that the solution takes
-See the [input](https://github.com/Knox-AAU/PreProcessingLayer_EntityRecognitionAndLinking/blob/main/docs/our-part-of-the-pipeline/pipeline-input.md) explanation
+See the [input](https://github.com/Knox-AAU/PreProcessingLayer_EntityRecognitionAndLinking/blob/main/docs/our-part-of-the-pipeline/pipeline-input.md) explanation.
 
 ## Entity Recognition
 Check out the [Entity Recognition documentation](https://github.com/Knox-AAU/PreProcessingLayer_EntityRecognitionAndLinking/blob/main/docs/entityrecognition.md)
@@ -21,8 +21,13 @@ Check out the [Entity Recognition documentation](https://github.com/Knox-AAU/Pre
 Check out the [Entity Linker documentation](https://github.com/Knox-AAU/PreProcessingLayer_EntityRecognitionAndLinking/blob/main/docs/entitylinker.md)
 
 ## The output it produces
-See the [output](https://github.com/Knox-AAU/PreProcessingLayer_EntityRecognitionAndLinking/blob/main/docs/our-part-of-the-pipeline/pipeline-output.md) explanation
+See the [output](https://github.com/Knox-AAU/PreProcessingLayer_EntityRecognitionAndLinking/blob/main/docs/our-part-of-the-pipeline/pipeline-output.md) explanation.
 
+## Deployment
+See the [Docker Watchtower](https://github.com/Knox-AAU/PreProcessingLayer_EntityRecognitionAndLinking/blob/main/docs/docker-watchtower.md) guide.
+
+## Writing Tests
+See the [Testing](https://github.com/Knox-AAU/PreProcessingLayer_EntityRecognitionAndLinking/blob/main/docs/testing.md) guide.
 
 ## Other components
 - The [DirectoryWatcher](https://github.com/Knox-AAU/PreProcessingLayer_EntityRecognitionAndLinking/blob/main/docs/DirectoryWatcher.md)