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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
Reducing Spurious Correlations for Answer Selection by Feature Decorrelation and Language DebiasingCode0
Original Content Is All You Need! an Empirical Study on Leveraging Answer Summary for WikiHowQA Answer Selection Task—0
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs—0
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection—0
Paragraph-based Transformer Pre-training for Multi-Sentence InferenceCode1
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
A Multi-Size Neural Network with Attention Mechanism for Answer Selection—0
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation—0
ASBERT: Siamese and Triplet network embedding for open question answering—0
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge—0
Keep Learning: Self-supervised Meta-learning for Learning from Inference—0
Raven's Progressive Matrices Completion with Latent Gaussian Process PriorsCode0
Hierarchical Ranking for Answer Selection—0
[Re] Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base EmbeddingsCode1
ComQA:Compositional Question Answering via Hierarchical Graph Neural NetworksCode1
NUT-RC: Noisy User-generated Text-oriented Reading ComprehensionCode0
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