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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 181–190 of 268 papers

TitleStatusHype
Debiasing Neural Retrieval via In-batch Balancing Regularization—0
How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval?—0
Collective Relevance Labeling for Passage RetrievalCode0
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval—0
R3 : Refined Retriever-Reader pipeline for Multidoc2dial—0
UGent-T2K at the 2nd DialDoc Shared Task: A Retrieval-Focused Dialog System Grounded in Multiple Documents—0
Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model—0
WatClaimCheck: A new Dataset for Claim Entailment and InferenceCode0
Conversational Search with Mixed-Initiative - Asking Good Clarification Questions backed-up by Passage Retrieval—0
Zero-shot Query Contextualization for Conversational SearchCode0
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