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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 21–30 of 171 papers

TitleStatusHype
A Sentence Interaction Network for Modeling Dependence between Sentences—0
ASBERT: Siamese and Triplet network embedding for open question answering—0
A Review on Deep Learning Techniques Applied to Answer Selection—0
A Strategic Reasoning Model for Generating Alternative Answers—0
Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering—0
A Multi-Size Neural Network with Attention Mechanism for Answer Selection—0
BAS: An Answer Selection Method Using BERT Language Model—0
Automatic Feature Engineering for Answer Selection and Extraction—0
An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service Chatbots—0
Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering—0
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