KJCKorea
Journal Central

@article{ART000992919},
author={Sunghee Yoon and SEONUCK PAEK},
title={Efficient Classification of User's Natural Language Question Types using Word Semantic Information},
journal={Journal of the Korean Society for Information Management},
issn={1013-0799},
year={2004},
volume={21},
number={4},
pages={251-264},
doi={10.3743/KOSIM.2004.21.4.251}

TY - JOUR
AU - Sunghee Yoon
AU - SEONUCK PAEK
TI - Efficient Classification of User's Natural Language Question Types using Word Semantic Information
JO - Journal of the Korean Society for Information Management
PY - 2004
VL - 21
IS - 4
PB - 한국정보관리학회
SP - 251
EP - 264
SN - 1013-0799
AB - For question-answering system, question analysis module finds the question points from user’s natural language questions, classifies the question types, and extracts some useful information for answer. This paper proposes a question type classifying technique based on focus words extracted from questions and word semantic information, instead of complicated rules or huge knowledge resources. It also shows how to find the question type without focus words, and how useful the synonym or postfix information to enhance the performance of classifying module.
KW - question-answering system;question type classification;answer extraction;word semantic information;natural language question
DO - 10.3743/KOSIM.2004.21.4.251
ER -

Sunghee Yoon and SEONUCK PAEK. (2004). Efficient Classification of User's Natural Language Question Types using Word Semantic Information. Journal of the Korean Society for Information Management, 21(4), 251-264.

Sunghee Yoon and SEONUCK PAEK. 2004, "Efficient Classification of User's Natural Language Question Types using Word Semantic Information", Journal of the Korean Society for Information Management, vol.21, no.4 pp.251-264. Available from: doi:10.3743/KOSIM.2004.21.4.251

Sunghee Yoon, SEONUCK PAEK "Efficient Classification of User's Natural Language Question Types using Word Semantic Information" Journal of the Korean Society for Information Management 21.4 pp.251-264 (2004) : 251.

Sunghee Yoon, SEONUCK PAEK. Efficient Classification of User's Natural Language Question Types using Word Semantic Information. 2004; 21(4), 251-264. Available from: doi:10.3743/KOSIM.2004.21.4.251

Sunghee Yoon and SEONUCK PAEK. "Efficient Classification of User's Natural Language Question Types using Word Semantic Information" Journal of the Korean Society for Information Management 21, no.4 (2004) : 251-264.doi: 10.3743/KOSIM.2004.21.4.251

Sunghee Yoon; SEONUCK PAEK. Efficient Classification of User's Natural Language Question Types using Word Semantic Information. Journal of the Korean Society for Information Management, 21(4), 251-264. doi: 10.3743/KOSIM.2004.21.4.251

Sunghee Yoon; SEONUCK PAEK. Efficient Classification of User's Natural Language Question Types using Word Semantic Information. Journal of the Korean Society for Information Management. 2004; 21(4) 251-264. doi: 10.3743/KOSIM.2004.21.4.251

Sunghee Yoon, SEONUCK PAEK. Efficient Classification of User's Natural Language Question Types using Word Semantic Information. 2004; 21(4), 251-264. Available from: doi:10.3743/KOSIM.2004.21.4.251

Sunghee Yoon and SEONUCK PAEK. "Efficient Classification of User's Natural Language Question Types using Word Semantic Information" Journal of the Korean Society for Information Management 21, no.4 (2004) : 251-264.doi: 10.3743/KOSIM.2004.21.4.251