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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
JAIST: Combining multiple features for Answer Selection in Community Question Answering—0
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension—0
JU NITM at IJCNLP-2017 Task 5: A Classification Approach for Answer Selection in Multi-choice Question Answering System—0
Keep Learning: Self-supervised Meta-learning for Learning from Inference—0
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge—0
Knowledge-Enhanced Attentive Learning for Answer Selection in Community Question Answering Systems—0
Learning Analogy-Preserving Sentence Embeddings for Answer Selection—0
Learning Semantic Relatedness in Community Question Answering Using Neural Models—0
Learning to Answer Questions from Wikipedia Infoboxes—0
Learning to Collaborate for Question Answering and Asking—0
Matching Text with Deep Mutual Information Estimation—0
MilkQA: a Dataset of Consumer Questions for the Task of Answer Selection—0
Getting MoRE out of Mixture of Language Model Reasoning Experts—0
MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection—0
Knowledgeable Dialogue Reading Comprehension on Key Turns—0
OpenQA: Hybrid QA System Relying on Structured Knowledge Base as well as Non-structured Data—0
Original Content Is All You Need! an Empirical Study on Leveraging Answer Summary for WikiHowQA Answer Selection Task—0
Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement—0
Pay-Per-Request Deployment of Neural Network Models Using Serverless Architectures—0
PerCQA: Persian Community Question Answering Dataset—0
PhotoshopQuiA: A Corpus of Non-Factoid Questions and Answers for Why-Question Answering—0
Predicting Answer Location Using Shallow Semantic Analogical Reasoning in a Factoid Question Answering System—0
Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata—0
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection—0
QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English—0
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