Description of the NTOU Complex QA System
Chuan‐Jie Lin, Yu‐Min Kuo · NTCIR · 2010
We participated in NTCIR-8 CCLQA Task for Chinese-to-Chinese (C-C) and English-to-Chinese (E-C) tasks. This is our first time developing a QA system for complex questions, although we already have some experiences on handling BIOGRAPHY, DEFINITION, and WHY questions. This paper provides the description of our complex QA system, the NTOU XQA System participated in NTCIR-8 CCLQA Task. This QA system can answer several types of factoid questions and 5 types of complex questions defined in NTCIR-8 CCLQA Task. Different strategies are designed for finding answers to different types of questions. Named entity recognition, distance scores of question keywords, answer information patterns, and search results from the Web are techniques integrated in these strategies. The best F-measure score achieved by our system is 19.88% in monolingual task and 13.62% in cross-lingual task. But unfortunately the official evaluation is incorrect.