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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 61–70 of 171 papers

TitleStatusHype
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs—0
Exploiting WordNet Synset and Hypernym Representations for Answer Selection—0
Beyond [CLS] through Ranking by Generation—0
Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems—0
FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question Answering—0
FastHybrid: A Hybrid Model for Efficient Answer Selection—0
An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms—0
FuRongWang at SemEval-2017 Task 3: Deep Neural Networks for Selecting Relevant Answers in Community Question Answering—0
Can AI Generate Love Advice?: Toward Neural Answer Generation for Non-Factoid Questions—0
FANS -- Formal Answer Selection for Natural Language Math Reasoning Using Lean4—0
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