NAK Team's System for Recognizing Textual Entailment at the NTCIR-11 RITE-VAL Task

نویسندگان

  • Genki Teranaka
  • Masahiko Sunohara
  • Hiroaki Saito
چکیده

The NAK team participated in the NTCIR-11 RITE-VAL task. This paper describes our textual entailment system and discusses the official results. Our system adopts statistical method: classification of the support vector machine (SVM). For Japanese SV subtask, our best result was 63.19 for macro-F1 score and 74.55 for accuracy. For Japanese FV subtask, our best result was 53.07 for macro-F1 score and 60.82 for accuracy.

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تاریخ انتشار 2014