• DOI:10.18653/v1/P16-1098
Corpus ID: 17624181

Deep Fusion LSTMs for Text Semantic Matching

@inproceedings{Liu2016DeepFL,
  title={Deep Fusion LSTMs for Text Semantic Matching},
  author={Pengfei Liu and Xipeng Qiu and Jifan Chen and X. Huang},
  booktitle={ACL},
  year={2016}
}

• Pengfei Liu, Xipeng Qiu, +1 author X. Huang
• Published in ACL 2016
• Computer Science

Recently, there is rising interest in modelling the interactions of text pair with deep neural networks. [...] Key Method Specifically, DF-LSTMs consist of two interdependent LSTMs, each of which models a sequence under the influence of another. We also use external memory to increase the capacity of LSTMs, thereby possibly capturing more complicated matching patterns. Experiments on two very large datasets demonstrate the efficacy of our proposed architecture. Furthermore, we present an elaborate qualitative…Expand

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