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Feature/doc similarity ranker #13858
Merged
maziyarpanahi
merged 44 commits into
release/500-release-candidate
from
feature/doc-similarity-ranker
Jul 3, 2023
Merged
Feature/doc similarity ranker #13858
maziyarpanahi
merged 44 commits into
release/500-release-candidate
from
feature/doc-similarity-ranker
Jul 3, 2023
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maziyarpanahi
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June 20, 2023 07:16
maziyarpanahi
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Jul 1, 2023
maziyarpanahi
approved these changes
Jul 2, 2023
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Description
DocumentSimilarityRanker is a new annotator that uses LSH techniques present in Spark ML lib to execute approximate nearest neighbours search on top of sentence embeddings, It aims to capture the semantic meaning of a document in a dense, continuous vector space and return it to the ranker search.
Motivation and Context
Useful algorithm that scales the semantic similarity search on top of well known embeddings representations such as RoBERTa etc..
How Has This Been Tested?
Locally and in distributed on Databricks LTS 12.2 Spark 3.3.2 .
Screenshots (if appropriate):
Types of changes
Checklist: