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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 41–50 of 171 papers

TitleStatusHype
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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