Improving Answer Ranking Using Cohesion between Answer and Keywords

نویسندگان

  • Shu-Jung Lin
  • Min-Shiang Shia
  • Kao-Hung Lin
  • Jiun-Hung Lin
  • Scott Yu
  • Wen-Hsiang Lu
چکیده

At the NTCIR5 CLQA task, we participated in the Chinese-Chinese (CC) and English-Chinese (EC) QA subtasks. Due to some programming errors in our EC QA system, we will focus on the evaluation of our CC QA system in this paper. We propose a new method to improve answer ranking using the cohesion between answer and keywords. Our experimental results show the effectiveness of this new method. Besides it, we also use POS and IDF (inverse document frequency) information to extract keywords in questions and answers from the relevant passages.

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تاریخ انتشار 2005