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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
Keep Learning: Self-supervised Meta-learning for Learning from Inference—0
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
Document Modeling with External Attention for Sentence ExtractionCode0
Raven's Progressive Matrices Completion with Latent Gaussian Process PriorsCode0
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty MeasurementCode0
Applying Deep Learning to Answer Selection: A Study and An Open TaskCode0
BERTSel: Answer Selection with Pre-trained ModelsCode0
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question AnsweringCode0
Neural Duplicate Question Detection without Labeled Training DataCode0
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