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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 76–100 of 171 papers

TitleStatusHype
Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting—0
VectorSLU: A Continuous Word Vector Approach to Answer Selection in Community Question Answering Systems—0
Voltron: A Hybrid System For Answer Validation Based On Lexical And Distance Features—0
Weighted Global Normalization for Multiple Choice Reading Comprehension over Long Documents—0
Why and How to Pay Different Attention to Phrase Alignments of Different Intensities—0
WikiQA: A Challenge Dataset for Open-Domain Question Answering—0
Zero-Shot End-To-End Spoken Question Answering In Medical Domain—0
Deceptive Answer Prediction with User Preference Graph—0
DEIM: An effective deep encoding and interaction model for sentence matching—0
Distributed Deep Learning for Question Answering—0
Double Retrieval and Ranking for Accurate Question Answering—0
Dynamic Feature Generation Network for Answer Selection—0
ECNU: Using Multiple Sources of CQA-based Information for Answers Selection and YES/NO Response Inference—0
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
Evaluating LLMs on Document-Based QA: Exact Answer Selection and Numerical Extraction using Cogtale dataset—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
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering—0
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
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering—0
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