An Accuracy-Oriented Divide-and-Conquer Strategy for Recognizing Textual Entailment

@inproceedings{Wang2008AnAD,
  title={An Accuracy-Oriented Divide-and-Conquer Strategy for Recognizing Textual Entailment},
  author={Rui Wang and G{\"u}nter Neumann},
  booktitle={TAC},
  year={2008}
}
This paper describes our participation of the Recognizing Textual Entailment challenge this year. Based on our promising results in the RTE-3 challenge last year (66.9% of accuracy) using a precision-oriented puristic syntactic approach (puristic in the sense that we only performed dependency parsing), we explored further extensions of this perspective. By extension, we developed more specialized RTE-modules to tackle more cases (i.e., entailment pairs) while trying to keep high accuracy. 
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  • Based on our promising results in the RTE-3 challenge last year (66.9% of accuracy) using a precision-oriented puristic syntactic approach (puristic in the sense that we only performed dependency parsing), we explored further extensions of this perspective.

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