NTT Question Answering System in TREC 2001
Hideto Kazawa, Hideki Isozaki, Eisaku Maeda · 2001
In this report, we describe our question-answering system SAIQA-e (System for Advanced Interactive Question Answering in English) which ran the main task of TREC-10’s QA-track. Our system has two characteristics (1) named entity recognition based on support vector machines and (2) heuristic apposition detection. The MPR score of the main task is 0.228 and experimental results indicate the effectiveness of the above two steps in terms of answer extraction accuracy. 1