SiteQ/J: A Question Answering System for Japanese
Seungwoo Lee, Gary Geunbae Lee · NTCIR · 2002
This paper describes our Question Answering system participated in QAC Task1 of NTCIR3 and reports the results with some observations. Through analyzing the previous TREC QA data, we defined passage and developed passage selection method suitable for Question Answering. Using LexicoSemantic Patterns (LSP), we identify answer type of a question and detect answer candidates without any deep linguistic analysis of the texts. Answer candidates are ranked by passage scores and distances between answer candidates and matched terms. As a result of better engineering, our system showed excellent performance when evaluated by mean reciprocal rank (MRR) in NTCIR 3.