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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 51–100 of 171 papers

TitleStatusHype
Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural NetworksCode0
HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality EvaluationCode0
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
ISS-MULT: Intelligent Sample Selection for Multi-Task Learning in Question Answering—0
ITNLP-AiKF at SemEval-2016 Task 3 a quesiton answering system using community QA repository—0
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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