Structured Alignment Networks for Matching Sentences

@inproceedings{Liu2018StructuredAN,
  title={Structured Alignment Networks for Matching Sentences},
  author={Yang P. Liu and Matt Gardner and Mirella Lapata},
  booktitle={EMNLP},
  year={2018}
}
Many tasks in natural language processing involve comparing two sentences to compute some notion of relevance, entailment, or similarity. Typically, this comparison is done either at the word level or at the sentence level, with no attempt to leverage the inherent structure of the sentence. When sentence structure is used for comparison, it is obtained during a non-differentiable pre-processing step, leading to propagation of errors. We introduce a model of structured alignments between… CONTINUE READING

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