Bilateral Multi-Perspective Matching for Natural Language Sentences

@inproceedings{Wang2017BilateralMM,
  title={Bilateral Multi-Perspective Matching for Natural Language Sentences},
  author={Z. Wang and W. Hamza and Radu Florian},
  booktitle={IJCAI},
  year={2017}
}
  • Z. Wang, W. Hamza, Radu Florian
  • Published in IJCAI 2017
  • Computer Science
  • Natural language sentence matching is a fundamental technology for a variety of tasks. [...] Key Method Given two sentences $P$ and $Q$, our model first encodes them with a BiLSTM encoder. Next, we match the two encoded sentences in two directions $P \rightarrow Q$ and $P \leftarrow Q$. In each matching direction, each time step of one sentence is matched against all time-steps of the other sentence from multiple perspectives.Expand Abstract

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