NTT DATA Question-Answering Experiment at the NTCIR-3 QAC

NTT DATA Question-Answering Experiment at the NTCIR-4 QAC2

Question Answering System Using Concept-Based Vector Space Model

This paper presents the architecture of the Concept-based Vector Space Model Question Answering System (CBVSM-QAS) developed at the Nagaoka University of Technology (NUT) and used in the 4-th NTCIR workshop Question Answering Challenge (QAC) evaluation. The CBVSM-QAS runs on the factual question, which is, correspond to the subtask-1 in the NTCIR-4’s QAC. One major peculiarity of this system is...

A Unified Approach to Japanese and English Question Answering

We present our unified approach to question answering in different languages and describe our experiments on the Japanese language NTCIR-3 Question Answering Challenge (QAC-1) tasks 1 and 2. The model we use for Japanese language question answering (QA) is identical to the one we have applied successfully on the English language TREC QA tasks, based on a novel statistical, non-linguistic and da...

Question Answering Challenge (QAC-1): An Evaluation of Question Answering Tasks at the NTCIR Workshop 3

In this paper we describe the Question Answering Challenge (QAC), a question answering task, and its first evaluation (QAC1). The project was carried out as a task of the NTCIR Workshop 3 in October 2002. One objective of the QAC was to develop practical QA systems in a general domain by focusing on research relating to user interaction and information extraction. Our second objective was to de...

Question Answering Challenge (QAC-1): An Evaluation of Question Answering Task at NTCIRWorkshop 3

In this paper we describe a question answering task, called Question Answering Challenge (QAC), and its first evaluation (QAC1). This was carried out as a task of NTCIR Workshop 3 in October 2002. In QAC, we aimed to encourage the development of practical QA systems in a general domain and focus on research of user interaction and information extraction. Developments of evaluation method of que...