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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 31–40 of 171 papers

TitleStatusHype
Solution of DeBERTaV3 on CommonsenseQACode0
CICERO: A Dataset for Contextualized Commonsense Inference in DialoguesCode1
DEIM: An effective deep encoding and interaction model for sentence matching—0
Question-Answer Sentence Graph for Joint Modeling Answer Selection—0
Double Retrieval and Ranking for Accurate Question Answering—0
OpenQA: Hybrid QA System Relying on Structured Knowledge Base as well as Non-structured Data—0
PerCQA: Persian Community Question Answering Dataset—0
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph—0
An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service Chatbots—0
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering—0
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