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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 81–90 of 171 papers

TitleStatusHype
A Compare-Aggregate Model with Latent Clustering for Answer Selection—0
Gated Group Self-Attention for Answer Selection—0
Hashing based Answer Selection—0
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction—0
BERTSel: Answer Selection with Pre-trained ModelsCode0
Impact of Training Dataset Size on Neural Answer Selection Models—0
Dynamic Feature Generation Network for Answer Selection—0
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question AnsweringCode0
Weighted Global Normalization for Multiple Choice Reading Comprehension over Long Documents—0
Recurrently Controlled Recurrent NetworksCode0
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