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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 101–125 of 171 papers

TitleStatusHype
FANS -- Formal Answer Selection for Natural Language Math Reasoning Using Lean4—0
FastHybrid: A Hybrid Model for Efficient Answer Selection—0
FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question Answering—0
FuRongWang at SemEval-2017 Task 3: Deep Neural Networks for Selecting Relevant Answers in Community Question Answering—0
Gated Group Self-Attention for Answer Selection—0
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge—0
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph—0
GW\_QA at SemEval-2017 Task 3: Question Answer Re-ranking on Arabic Fora—0
Hashing based Answer Selection—0
HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate Semantic Textual Similarity—0
Hierarchical Ranking for Answer Selection—0
HITSZ-ICRC: Exploiting Classification Approach for Answer Selection in Community Question Answering—0
ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge—0
If You Can't Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking—0
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering—0
Impact of Training Dataset Size on Neural Answer Selection Models—0
Improved Answer Selection with Pre-Trained Word Embeddings—0
Improved Representation Learning for Question Answer Matching—0
Improving Answer Selection and Answer Triggering using Hard Negatives—0
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation—0
Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering—0
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning—0
Inner Attention based Recurrent Neural Networks for Answer Selection—0
Integrating Question Classification and Deep Learning for improved Answer Selection—0
Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues—0
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