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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 131–140 of 171 papers

TitleStatusHype
Hierarchical Memory Networks for Answer Selection on Unknown WordsCode0
Skipping Word: A Character-Sequential Representation based Framework for Question Answering—0
A Sentence Interaction Network for Modeling Dependence between Sentences—0
Inner Attention based Recurrent Neural Networks for Answer Selection—0
Learning Semantic Relatedness in Community Question Answering Using Neural Models—0
Improved Representation Learning for Question Answer Matching—0
Gated-Attention Readers for Text ComprehensionCode0
ITNLP-AiKF at SemEval-2016 Task 3 a quesiton answering system using community QA repository—0
Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement—0
SLS at SemEval-2016 Task 3: Neural-based Approaches for Ranking in Community Question Answering—0
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