簡易檢索 / 詳目顯示
| 研究生： |
曾建勛 Tzeng,Jian Shuin |
|---|---|
| 論文名稱： |
基於領域詞典之詞彙-語義網路建構方法研究 － 以財務金融領域詞典為例 The Construction of a Lexical-semantic Network Based on Domain Dictionary: Dictionary of Finance and Banking as an Example |
| 指導教授： |
劉文卿
Liou,Wen Ching |
| 學位類別： |
碩士
Master |
| 系所名稱： |
商學院 - 資訊管理學系 Department of Management Information System |
| 論文出版年： | 2009 |
| 畢業學年度： | 95 |
| 語文別： | 中文 |
| 論文頁數： | 84 |
| 中文關鍵詞： | 中文斷詞 、特徵向量 、詞空間 、語義網路 、語義相似度 |
| 外文關鍵詞： | Chinese word segmentation, Feature vector, Word space, Semantic network, Semantic similarity |
| 相關次數： | 點閱：107 下載：73 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
領域詞典包含許多專業的詞彙以及對詞彙的定義，但詞典中詞彙間的關係是被隱藏起來的，本研究運用自然語言處理的相關技術，提出運用領域詞典找出詞彙間關係建構特定領域語義網路的方法。
A domain dictionary contains many professional words and their definitions. In general, there are many hidden relations among words in a dictionary. In this thesis, we use techniques of natural language processing to find out these relations, and bring up a method to construct a domain specific lexical semantic network.
致謝 I
Abstract II
摘要 III
Table of Contents IV
List of Figures V
List of Tables VI
Chapter 1 Introduction 1
1.1. Research Background 1
1.2. Research Motivation 1
1.3. Research Objectives 2
1.4. Thesis Organization 2
Chapter 2 Literature Review 3
2.1. Semantic Network 3
2.2. Chinese Word Segmentation 3
2.3. TFIDF (Term Frequency–Inverse Document Frequency) 4
2.4. The Structure of Meaning 4
Chapter 3 Research Method 6
3.1. Definition 6
3.2. Construction Process 8
3.3. Data Preparation 9
3.4. Word Base Construction 9
3.5. Semantic Similarity Calculation 10
3.6. Relation Identifier Retrieval 11
3.7. Verification 15
Chapter 4 Result 16
Chapter 5 Conclusion 19
References 20
Appendix A. Terms in Dictionary 21
Appendix B Relations among terms 28
B.1 Relations Ordered by Semantic Similarity 28
B.2 Relations Ordered by English Term Name 45
Appendix C Example of Relation Identifiers Retrieved by Different Methods 64
C.1 Relation Identifier “是一種” Retrieved by Morphemes 64
C.2 Relation Identifier “等同於” Retrieved by Syntax Patterns 68
C.3 Relation Identifier “是一種” Retrieved by Syntax Patterns 70
Appendix D Lexical Semantic Networks 74
[1] M.R.Quillian; Semantic memory. In; M.Minsky (Ed.) Semantic information processing; MIT Press, Cambridge, 227-270 (1968).
[2] R.F.Simmons, J.Slocum; Generating English Discourse from Semantic Networks, Communications of the ACM; 15(10), 891-905 (1972).
[3] HowNet, URL: http://www.keenage.com/.
[4] WordNet, URL: http://wordnet.princeton.edu/.
[5] Chinese Word Segmentation System of Academia Sinica, URL: http://ckipsvr.iis.sinica.edu.tw/.
[6] J.Allen; Natural Language Understanding 2nd ed.; Benjamin & Cummings, Redwood, 195 (1995).
[7] S.Dominich; A Unified Mathematical Definition of Classical Information Retrieval, Journal of the American Society for Information Science; 51(7), 614-625 (2000).
[8] V.Fromkin, R.Rodman, N.Hyams; An Introduction to Language 7th ed.; Thomson Wadsworth, Boston, 75-77 (2002).
[9] J.I.Saeed; Semantics 2nd ed.; Blackwell Publishing, Malden, 247-248 (2003).
[10] R.R.K.Hartmann, G.James; Dictionary of Lexicography; Foreign Language Teaching and Research Press, Beijing, 110 (2000).
[11] Q.C.Wang, et al.; Dictionary of Finance and Banking; Wunan, Taipei, 1-80 (2001).
[12] C.D.Manning, H.Schütze; Foundations of Statistical Natural Language Processing; MIT Press, Cambridge (1999).