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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
Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation—0
Duet at TREC 2019 Deep Learning TrackCode0
Extractive NarrativeQA with Heuristic Pre-Training—0
Context-Aware Sentence/Passage Term Importance Estimation For First Stage RetrievalCode0
ANTIQUE: A Non-Factoid Question Answering BenchmarkCode0
On the Effect of Low-Frequency Terms on Neural-IR ModelsCode0
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering—0
Extracting Factual Min/Max Age Information from Clinical Trial Studies—0
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match—0
Revisiting Iterative Relevance Feedback for Document and Passage Retrieval—0
WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval—0
Biomedical Question Answering via Weighted Neural Network Passage Retrieval—0
Automated Historical Fact-Checking by Passage Retrieval, Word Statistics, and Virtual Question-Answering—0
Redundancy Localization for the Conversationalization of Unstructured Responses—0
Assessing the performance of Olelo, a real-time biomedical question answering application—0
Discriminative Information Retrieval for Question Answering Sentence SelectionCode0
JUST.ASK, a QA system that learns to answer new questions from previous interactions—0
The Answer is at your Fingertips: Improving Passage Retrieval for Web Question Answering with Search Behavior Data—0
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