KECIR Question Answering System at NTCIR7 CCLQA
Yu Bai, Li Jiang Guo, Lei Liu, Dongfeng Cai, Bo Zhou · NTCIR · 2008
At the NTCIR-7 CCLQA (Complex Cross-Language Question Answering) task, we participated in the Chinese-Chinese (C-C) and English-Chinese (E-C) QA (Question Answering) subtasks. In this paper, we describe our QA system, which includes modules for question analysis, document retrieval, information extraction and answer generation. Besides, we used an online MT (Machine Translation) system to deal with question translation in our E-C task. An overall analysis and a detailed module-by-module analysis are presented. Since document retrieval is an essential part of CLQA, we also did experiments and submit QA results using IR4QA results in order to find out which IR technique would help CCLQA.