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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 26–50 of 171 papers

TitleStatusHype
A Multi-Size Neural Network with Attention Mechanism for Answer Selection—0
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection—0
Automatic Feature Engineering for Answer Selection and Extraction—0
An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service Chatbots—0
BAS: An Answer Selection Method Using BERT Language Model—0
A Review on Deep Learning Techniques Applied to Answer Selection—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
Evaluating Answer Reranking Strategies in Time-sensitive Question Answering—0
CoMiC: Adapting a Short Answer Assessment System for Answer Selection—0
CLINIQA: A Machine Intelligence Based Clinical Question Answering System—0
Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering—0
CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task—0
Answer Selection in Arabic Community Question Answering: A Feature-Rich Approach—0
Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching—0
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge—0
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks—0
Can AI Generate Love Advice?: Toward Neural Answer Generation for Non-Factoid Questions—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
A Simple End-to-End Question Answering Model for Product Information—0
Double Retrieval and Ranking for Accurate Question Answering—0
Dynamic Feature Generation Network for Answer Selection—0
Beyond [CLS] through Ranking by Generation—0
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