CMU JAVELIN System for NTCIR5 CLQA1
Frank P. Y. Lin, Hideki Shima, Mengqiu Wang, Teruko Mitamura · 2005
In this paper, we describe the JAVELIN Cross Language Question Answering system, which includes modules for question analysis, keyword translation, document retrieval, information extraction and answer generation. In the NTCIR5 CLQA1 evaluation, our system achieved 7.5 % and 10.0 % accuracy in the English-to-Chinese and English-to-Japanese subtasks, respectively. An overall analysis and a detailed module-by-module analysis are presented.