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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 171–180 of 268 papers

TitleStatusHype
Contextualized Query Embeddings for Conversational Search—0
Contributions to the Improvement of Question Answering Systems in the Biomedical Domain—0
Control Token with Dense Passage Retrieval—0
Conversational Search with Mixed-Initiative -- Asking Good Clarification Questions backed-up by Passage Retrieval—0
Conversational Search with Mixed-Initiative - Asking Good Clarification Questions backed-up by Passage Retrieval—0
CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval—0
CoT-MoTE: Exploring ConTextual Masked Auto-Encoder Pre-training with Mixture-of-Textual-Experts for Passage Retrieval—0
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion—0
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering—0
Debiasing Neural Retrieval via In-batch Balancing Regularization—0
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