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Answer Selection

Answer Selection is the task of identifying the correct answer to a question from a pool of candidate answers. This task can be formulated as a classification or a ranking problem.

Source: Learning Analogy-Preserving Sentence Embeddings for Answer Selection

Papers

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Showing 81–90 of 171 papers

TitleStatusHype
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge—0
Knowledge-Enhanced Attentive Learning for Answer Selection in Community Question Answering Systems—0
Learning Analogy-Preserving Sentence Embeddings for Answer Selection—0
Learning Semantic Relatedness in Community Question Answering Using Neural Models—0
Learning to Answer Questions from Wikipedia Infoboxes—0
Learning to Collaborate for Question Answering and Asking—0
Matching Text with Deep Mutual Information Estimation—0
MilkQA: a Dataset of Consumer Questions for the Task of Answer Selection—0
Getting MoRE out of Mixture of Language Model Reasoning Experts—0
MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection—0
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