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Passage Retrieval

Passage retrieval is a specialized type of IR application that retrieves relevant passages (or pieces of text) rather than an entire ranked set of documents.

Papers

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Showing 241–250 of 268 papers

TitleStatusHype
Leveraging Passage Retrieval with Generative Models for Open Domain Question AnsweringCode1
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text RetrievalCode1
Query Resolution for Conversational Search with Limited SupervisionCode1
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting—0
Do Neural Ranking Models Intensify Gender Bias?Code0
Question Rewriting for Conversational Question Answering—0
Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation—0
Expansion via Prediction of Importance with ContextualizationCode0
Dense Passage Retrieval for Open-Domain Question AnsweringCode1
Overview of the TREC 2019 deep learning trackCode1
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