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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
End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights—0
Enhancing Answer Selection in Community Question Answering with Pre-trained and Large Language Models—0
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection—0
Evaluating Answer Reranking Strategies in Time-sensitive Question Answering—0
Can AI Generate Love Advice?: Toward Neural Answer Generation for Non-Factoid Questions—0
Beyond [CLS] through Ranking by Generation—0
Evaluating Machine Reading Systems through Comprehension Tests—0
Evaluation of baseline information retrieval for Polish open-domain Question Answering system—0
EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering—0
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction—0
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