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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
A Deep Metric Learning Method for Biomedical Passage Retrieval—0
A Little Bit Is Worse Than None: Ranking with Limited Training DataCode0
Making Information Seeking Easier: An Improved Pipeline for Conversational Search—0
Neural Passage Retrieval with Improved Negative Contrast—0
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering—0
Brown University at TREC Deep Learning 2019—0
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
Expansion via Prediction of Importance with ContextualizationCode0
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