The WHUTE System in NTCIR-10 RITE Task

نویسندگان

  • Han Ren
  • Hongmiao Wu
  • Chen Lv
  • Dong-Hong Ji
  • Jing Wan
چکیده

This paper describes our system of recognizing textual entailment for RITE Traditional and Simplified Chinese subtasks at NTCIR10. We build a textual entailment recognition framework and implement a system that employs features of three categories, including string, structure and linguistic features, for the recognition. In addition, an entailment transformation approach is leveraged to align text fragments in each pair. We also utilize a cascaded recognition strategy, which first judge entailment or no entailment, and then forward, bidirectional, contradiction or independence relation of each text pair in turn. Official results show that our system achieves a 65.55% MacroF1 performance in Traditional BC subtask, a 45.50% in Traditional MC subtask, a 61.65% in Simplified BC subtask and a 46.79% in Simplified MC subtask. In IR4QA subtasks, our system achieves a 27.33% WorseRanking Top1 accuracy in Traditional subtask and a 18.67% in Simplified subtask.

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تاریخ انتشار 2013