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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 121–130 of 171 papers

TitleStatusHype
An Attention Mechanism for Answer Selection Using a Combined Global and Local View—0
EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering—0
End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights—0
If You Can't Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking—0
Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching—0
Representation Learning for Answer Selection with LSTM-Based Importance WeightingCode0
FastHybrid: A Hybrid Model for Efficient Answer Selection—0
A Compare-Aggregate Model for Matching Text SequencesCode0
Learning Recurrent Span Representations for Extractive Question AnsweringCode0
Learning to Answer Questions from Wikipedia Infoboxes—0
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