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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 251–268 of 268 papers

TitleStatusHype
Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question AnsweringCode0
A Little Bit Is Worse Than None: Ranking with Limited Training DataCode0
Expansion via Prediction of Importance with ContextualizationCode0
A Comparison of Question Rewriting Methods for Conversational Passage RetrievalCode0
Duet at TREC 2019 Deep Learning TrackCode0
A Surprisingly Simple yet Effective Multi-Query Rewriting Method for Conversational Passage RetrievalCode0
Boot and Switch: Alternating Distillation for Zero-Shot Dense RetrievalCode0
Zero-shot Query Contextualization for Conversational SearchCode0
Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense RetrievalCode0
DPTDR: Deep Prompt Tuning for Dense Passage RetrievalCode0
ANTIQUE: A Non-Factoid Question Answering BenchmarkCode0
DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrievalCode0
Whispers in Grammars: Injecting Covert Backdoors to Compromise Dense Retrieval SystemsCode0
Do Neural Ranking Models Intensify Gender Bias?Code0
Slot Filling for Biomedical Information ExtractionCode0
Discriminative Information Retrieval for Question Answering Sentence SelectionCode0
Dense Passage Retrieval in Conversational SearchCode0
Context-Aware Sentence/Passage Term Importance Estimation For First Stage RetrievalCode0
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