TOWARDS AUTO-CONSTRUCTION OF DOMAIN ONTOLOGY: AN AUTO-CONSTRUCTED DOMAIN CONCEPTUAL LEXICON AND ITS APPLICATION TO EXTRACTIVE SUMMARIZATION
A domain conceptual lexicon can be used for the construction of a domain ontology.In this paper, a method of auto-constructing a domain conceptual lexicon is proposed.The conceptual lexicon is represented by WordNet senses and their relations.Using the domain conceptual lexicon, an extractive summarization method is proposed.A characteristic of the scheme is that each sentence of a document is represented by a set of WordNet senses and constitutes a fuzzy transaction for mining conceptual lexicon and ranking relevance.A prototype of this automatic text summarization scheme is built and an intrinsic method with the information-retrieval criteria is used for measuring the summary quality.
Text summarization Key sentences Sense representation Fuzzy transaction Semantic clustering
HSUN-HUI HUANG YAU-HWANG KUO
Center for Research of E-life Digital Technology (CREDIT), Department of Computer Science and Information Engineering, National Cheng Kung University, No.1, Ta-Hsueh Road, Tainan, Taiwan
国际会议
2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)
香港
英文
2947-2952
2007-08-19（万方平台首次上网日期，不代表论文的发表时间）