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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 141–150 of 171 papers

TitleStatusHype
Attentive Recurrent Tensor Model for Community Question Answering—0
Automatic Feature Engineering for Answer Selection and Extraction—0
BAS: An Answer Selection Method Using BERT Language Model—0
Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering—0
Beyond [CLS] through Ranking by Generation—0
Can AI Generate Love Advice?: Toward Neural Answer Generation for Non-Factoid Questions—0
CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task—0
CLINIQA: A Machine Intelligence Based Clinical Question Answering System—0
CoMiC: Adapting a Short Answer Assessment System for Answer Selection—0
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge—0
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