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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 51–60 of 171 papers

TitleStatusHype
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge—0
Keep Learning: Self-supervised Meta-learning for Learning from Inference—0
Raven's Progressive Matrices Completion with Latent Gaussian Process PriorsCode0
Hierarchical Ranking for Answer Selection—0
Exploiting WordNet Synset and Hypernym Representations for Answer Selection—0
NUT-RC: Noisy User-generated Text-oriented Reading ComprehensionCode0
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering—0
A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question AnsweringCode0
MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection—0
Beyond [CLS] through Ranking by Generation—0
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