Corpus ID: 12211448

Deep Learning for Answer Sentence Selection

@article{Yu2014DeepLF,
  title={Deep Learning for Answer Sentence Selection},
  author={L. Yu and K. Hermann and P. Blunsom and S. Pulman},
  journal={ArXiv},
  year={2014},
  volume={abs/1412.1632}
}
Answer sentence selection is the task of identifying sentences that contain the answer to a given question. [...] Key Method Our approach does not require any feature engineering nor does it involve specialist linguistic data, making this model easily applicable to a wide range of domains and languages. Experimental results on a standard benchmark dataset from TREC demonstrate that---despite its simplicity---our model matches state of the art performance on the answer sentence selection task.Expand
330 Citations
A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection
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Improved Representation Learning for Question Answer Matching
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Combining Lexical and Semantic-based Features for Answer Sentence Selection
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Collaborative Learning for Answer Selection in Question Answering
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Noise-Contrastive Estimation for Answer Selection with Deep Neural Networks
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Coarse-to-Fine Question Answering for Long Documents
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Hierarchical Question Answering for Long Documents
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An Enhanced Convolutional Neural Network Model for Answer Selection
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SPAN: Understanding a Question with Its Support Answers
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