以階層式詞義網路為基礎的中文文件分析及其效能評估

碩士 === 東海大學 === 資訊工程與科學系 === 91 === In this paper we research the mutual semantic relationship between terms via term concepts. We collect Chinese synonyms for building a synonyms thesaurus, and analyze documents with information retrieval tech like Chinese word tagging, natural language processing(...

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Bibliographic Details
Main Author: 施政瑋
Other Authors: Fang-Yie Leu
Format: Others
Language:zh-TW
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/41549470128157479659
Description
Summary:碩士 === 東海大學 === 資訊工程與科學系 === 91 === In this paper we research the mutual semantic relationship between terms via term concepts. We collect Chinese synonyms for building a synonyms thesaurus, and analyze documents with information retrieval tech like Chinese word tagging, natural language processing(NLP), query processing, index constructing, etc. and build a semantic based document retrieval system.. It not only can handle keyword-based query, it can analyze documents by using lexical chain instead of keyword search to improve the accuracy in document retrieval. Besides, we evaluate retrieval performance with vector space model. Finally, we examine the system with document in certain domain and evaluate performance of the algorithm with recall and precision degree.