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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 71–80 of 268 papers

TitleStatusHype
Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and EfficientlyCode1
Open-Domain Question Answering Goes Conversational via Question RewritingCode1
Embedding-based Zero-shot Retrieval through Query GenerationCode1
Generation-Augmented Retrieval for Open-domain Question AnsweringCode1
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
Dense Passage Retrieval for Open-Domain Question AnsweringCode1
Overview of the TREC 2019 deep learning trackCode1
Passage Re-ranking with BERTCode1
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