Analyzing the Use of Non-overlap Features for Supervised Answer Validation

نویسندگان

  • Alberto Téllez-Valero
  • Antonio Juárez-González
  • Manuel Montes-y-Gómez
  • Luis Villaseñor Pineda
چکیده

This year we evaluated our supervised answer validation method at both, the Spanish Answer Validation Exercise (AVE) and the Spanish Question Answering Main Task. This paper describes and analyzes our evaluation results from both tracks. In resume, the F-measure of the proposed method outperformed the baseline result of the AVE 2008 task by more than 100%, and enhanced the performance of our question answering system, showing a gain in accuracy of 22% for answering factoid questions. A detailed analysis of the results shows that the proposed non–overlap features are most discriminative than the traditional overlap ones. In particular, these novel features allowed increasing the F-measure result of our method by 26%.

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تاریخ انتشار 2008