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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 101–110 of 268 papers

TitleStatusHype
An Experimental Study on Pretraining Transformers from Scratch for IR—0
Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?Code1
HYRR: Hybrid Infused Reranking for Passage Retrieval—0
Query-as-context Pre-training for Dense Passage RetrievalCode1
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion—0
PolQA: Polish Question Answering Dataset—0
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers—0
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single TransformerCode1
Open-Domain Conversational Question Answering with Historical AnswersCode0
Retrieval Oriented Masking Pre-training Language Model for Dense Passage RetrievalCode2
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