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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 101–110 of 171 papers

TitleStatusHype
QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English—0
Question Answering Using Enhanced Lexical Semantic Models—0
Question-Answer Selection in User to User Marketplace Conversations—0
Question-Answer Sentence Graph for Joint Modeling Answer Selection—0
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm—0
SemEval-2015 Task 3: Answer Selection in Community Question Answering—0
Skipping Word: A Character-Sequential Representation based Framework for Question Answering—0
SLS at SemEval-2016 Task 3: Neural-based Approaches for Ranking in Community Question Answering—0
SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References—0
Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching—0
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