NLP-KG
Semantic Search

Field of Study:

Passage Retrieval

Passage Retrieval is a subfield of Information Retrieval that deals with retrieving relevant passages or snippets of text from a larger document or corpus in response to a user query. It involves developing algorithms and models that can identify and extract the most relevant and informative passages, and rank them based on their relevance and similarity to the query.

Papers published in this field over the years:

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Publications for Passage Retrieval

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Researchers for Passage Retrieval

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