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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
An Attention Mechanism for Answer Selection Using a Combined Global and Local View—0
Evaluating Answer Reranking Strategies in Time-sensitive Question Answering—0
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection—0
Enhancing Answer Selection in Community Question Answering with Pre-trained and Large Language Models—0
End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights—0
Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering—0
A Multi-Size Neural Network with Attention Mechanism for Answer Selection—0
ECNU: Using Multiple Sources of CQA-based Information for Answers Selection and YES/NO Response Inference—0
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