NYU/CRL QA System for QAC-2

NYU/CRL QA System, QAC Question Analysis and CRL QA Data

Oki QA System for QAC-2

This note describes OKI QA system for QAC-2 of NTCIR4. Our system has three characteristics: dependency-matching based answer extraction, run-time tagging, and learning-based query type analyzer. The result of the experiment implies that dependency revision technique will occupy an important position.

RitsQA: Ritsumeikan Question Answering System used for QAC-1

In this paper, we describe RitsQA: Ritsumeikan question answering system. In our QA system, input query sentence is firstly analyzed using question patterns consist of description of NE elements, POS of words and surface expressions. Then, query type and some clue words, which are used for document retrieval, are determined. For answer extraction, our system uses word distance between answer ca...

NTT's QA Systems for NTCIR QAC-1

In this paper, we describe two Question Answering systems that participated in the NTCIR QAC task. The first system, SAIQA-Ii, follows a standard worddistance approach. This system was designed to output the top five candidates and participated in TASK-1. The second system, SAIQA-Is, employs a logic-based approach. This system was designed to output only the most likely candidates and participa...

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...