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  1. NTU Theses and Dissertations Repository
  2. 文學院
  3. 圖書資訊學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/75116
完整後設資料紀錄
DC 欄位值語言
dc.contributor.authorYa-chen Chuangen
dc.contributor.author莊雅蓁zh_TW
dc.date.accessioned2021-07-01T08:11:53Z-
dc.date.available2021-07-01T08:11:53Z-
dc.date.issued2000
dc.identifier.citation一、中文部分
(一)圖書
江玉婷。「中文資訊檢索測試集設計與製作之研究」。國立台灣大學圖書資訊學研究所,碩士論文,民國88年。
吳忻萍。「以隱藏語意索引為基礎的中文資訊檢索」。國立台灣大學資訊管理研究所,碩士論文,民國85年。
美國資訊科學學會臺北分會編。索引典理論與實務。臺北市:編者,民國83年。
陳佳君。「檢索詞彙來源與檢索詞彙效益之研究」。國立台灣大學圖書館學研究所,碩士論文,民國84年。
黃卓倫。「利用隱藏語意索引進行檔分段檢索之研究」。國立台灣大學資訊管理學研究所,碩士論文,民國85年。
黃慕萱。資訊檢索。臺北市:台灣學生,民國85年。
廖書賢。「中文全文資訊檢索研究平臺規劃與建置」。國立台灣大學資訊管理學研究所,碩士論文,民國87年。
(二)期刊論文
李連揮。「索引典與索引方法」圖書館學與資訊科學3卷2期(民國66年10月):頁44-52。
國立中央圖書館中文主題用語表研究小組。「中文主題用語表之研究」。中國圖書館學會會報第42期(民國77年6月):頁21-30。
陳昭珍。「主題索引問題初探」。ASIS臺北學生分會會訊第5期(民國81年6月):頁29-31。
黃慕萱。「線上索引典顯示格式之設計探討」。中國圖書館學會會報第53期(民國83年12月):頁125-136。
曾元顯,林瑜一。「模糊搜尋、相關詞提示與相關詞回饋在OPAC系統中的成效評估」。中國圖書館學會會報第61期(民國87年12月):頁103-125。
二、英文部分
(一)圖書
Chamis, A. Y. Vocabulary Control and Search Strategies in Online Searching New York: Greenwood Press, 1991.
Frakes, William B. and Ricardo Baeza-Yates. Information Retrieval-Data Structure & Algorithms, New Jersey: Prentice-Hall, 1992.
Pao, Miranda Lee. Concept of Information Retrieval. Englewood, Colorado: Libraries UnLimited, INC., 1989.
Salton, Gerard. Automatic Text Processing: the Transformation, Analysis, and Retrieval of Information by Computer, New York: Addison-Wesley Publishing Company, 1989.
(二)期刊論文
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Baker, L. Douglas and Andrew Kachites McCallum. Distributional Clustering of Words for Text Classification. In Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Melbourne, Australia, August 24-28, 1998, 96-103.
Ballesteros, L. and W.B. Croft. Phrasal Translation and Query Expansion Techniques for Cross-Language Information Retrieval. In Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval ,Philadelphia, PA, USA, Jul 27-31, 1997, 84-91.
Bellamy, L. M. and L. Bickham. Thesaurus Development for Subject Cataloging. Special Libraries (Winter 1989): 9-15.
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Brooks, H. M. Expert Systems and Intelligent Information Retrieval. Information Processing & Management 23, no.4 (1987): 367-382.
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Carpineto, Claudio and Giovanni Romano. Lattice Conceptual Clustering System and its Application to Browsing Retrieval. Machine Learning 24, no.2(Aug 1996): 95-122.
Chaplan, M. A. Mapping Laborline Thesaurus Terms to Library of Congress Subject Headings: Implications for Vocabulary Switching. Library Quarterly 65, no.1 (1995): 39-61.
Chen, Aitao. Chinese Text Retrieval without Using a Dictionary. In Proceedings of the 20th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval Philadelphia, PA, USA, Jul 27-31 1997, 42-49.
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Franz, Martin, and Salim Roukos. A Method for Scoring Correlated Features in Query Expansion. In Proceedings of the 21st Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval Melbourne, Australia, August 24-28 1998, 337-338.
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Ito, Hideaki and Teruo Fukumura. Finance Adviser: Consultation System for Financing Information Retrieval by Multi-Dimensional Thesaurus. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2, 1995, 1160-1165.
Jarvelin, Kalervo. Deductive Data Model for Query Expansion. In Proceedings of the 19th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval, Zurich, Switz, Aug 18-22 1996, 235-243.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/75116-
dc.description.abstract摘要
本研究主要探討下列三項議題:(1)自動建構之同義詞典對資訊檢索之輔助效益;(2)以何種索引典詞彙關係擴展查詢問句有最佳的效益;(3)同義詞典與索引典整合輔助的效果。由於詞彙資源取得不易,本研究以實驗檔資料庫為基礎,自動建構同義詞典,首先選定同義詞典詞彙來源之檔資料庫,使用斷詞的方式擷取詞彙,擷取檔中詞彙共現資訊計算詞彙關係,再依據詞彙相關程度聚引相關詞彙而產生詞彙群,進而組織為同義詞典。查詢問句擴展實驗,首先搜集原始查詢問句,再以不同的詞彙來源建構多組不同的查詢問句擴展模型,包括分別以同義詞典及索引典擴展以及整合兩種詞彙資源的擴展形式。查詢問句擴展檢索效益的評估由人工進行相關判斷,再依據判斷結果計算檢索結果的求準率。
研究結果顯示,以同義詞典詞彙群內詞彙數量較少的層次擴展查詢問句有較好的檢索效益,索引典各種詞彙關係擴展查詢問句的檢索結果則沒有顯著的差異,但大致以整合所有詞彙關係的擴展形式有較好的檢索效益,以同義詞典擴展再以索引典修正後的檢索效益略為提升,但再以索引典二次擴展的檢索效益反而降低。實驗亦發現自動建構的同義詞典內容受斷詞品質的優劣所影響,對查詢問句擴展的檢索效益而言,字串比對方式亦是重要的影響因素,可見查詢問句擴展的實驗除了擴展機制與形式的設計之外,還有許多影響實驗結果的因素,如斷詞、索引、字串比對、評估方法等,因此有關同義詞典建構與查詢問句擴展研究的未來發展,仍有許多複雜課題等待解決。
zh_TW
dc.description.abstractABSTRACT
This thesis aims at three important issues for query expansion: whether the automatic constructed synonym dictionary could enhance the retrieval effectiveness, which relationship of thesaurus has the best performance, and the effectiveness of the integration of synonym dictionary and thesaurus. In order to proceed the experiments of query expansion, we have to develop a methodology for automatic construction of synonym dictionary. Firstly, the appropriate text corpus is selected, word segmentation is carried out, and words are clustered based on co-occurrence statistics. Then, the synonym dictionary is constructed hierarchically. In the experiments of query expansion, the queries are collected from various users and each query is expanded in different models, including expanding by either synonym dictionary or thesaurus or both. Finally, performance is evaluated in precision, which is calculated according to the manual relevance judgments.
The results show that query expansion using second level of synonym dictionary has better performance. Though the effects of different relationships prescribed in the thesaurus are similar, expanding by union of all relationships shows better performance. The model of first expanding query by synonym dictionary then modifying it by thesaurus has improved retrieval performance slightly, but the performance is decreased in further expansion. We also find that the correctness of word segmentation has a great impact on the quality of synonym dictionary. The mode of string mapping is another important factor, too. Therefore for the further study of synonym dictionary construction and query expansion, there are still many problems to be solved.
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dc.description.provenanceMade available in DSpace on 2021-07-01T08:11:53Z (GMT). No. of bitstreams: 0
Previous issue date: 2000
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dc.description.tableofcontents目次
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第一章 緒論 1
第一節 問題陳述 1
第二節 研究目的 3
第三節 研究假設 3
第四節 研究範圍與限制 4
第五節 研究方法與步驟 5
註釋 8
第二章 文獻分析 9
第一節 查詢問句擴展 9
第二節 索引典建構 16
註釋 27
第三章 同義詞典的設計與建構 31
第一節 自動建構同義詞典之動機 31
第二節 建構方法 33
第三節 實際進行步驟 46
註釋 49
第四章 查詢擴展的設計與實驗 51
第一節 實驗設計 51
第二節 實驗資料 58
第三節 檢索系統架構 61
第四節 查詢問句的設計與選取 66
第五節 實驗結果評估方法 68
註釋 71
第五章 結果與分析 73
第一節 同義詞典建構之結果分析 73
第二節 查詢問句擴展之結果分析 78
第六章 結論與建議 101
第一節 結論 101
第二節 建議 105
註釋 107
參考文獻 109
附錄 121
附錄A 停用字表 121
附錄B 擴展復之查詢問句 123
附錄C 擴展並修正後之查詢問句 137
dc.language.isozh-TW
dc.title中文查詢問句擴展之研究zh_TW
dc.titleA Study on Query Expansion for Chinese Information Retrievalen
dc.date.schoolyear88-2
dc.description.degree碩士
dc.relation.page149
dc.rights.note未授權
dc.contributor.author-dept文學院zh_TW
dc.contributor.author-dept圖書資訊學研究所zh_TW
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