| dc.contributor.advisor | 劉文卿 | zh_TW |
| dc.contributor.advisor | Liou,Wen Ching | en_US |
| dc.contributor.author (Authors) | 曾建勛 | zh_TW |
| dc.contributor.author (Authors) | Tzeng,Jian Shuin | en_US |
| dc.creator (作者) | 曾建勛 | zh_TW |
| dc.creator (作者) | Tzeng,Jian Shuin | en_US |
| dc.date (日期) | 2006 | en_US |
| dc.date.accessioned | 18-Sep-2009 20:13:54 (UTC+8) | - |
| dc.date.available | 18-Sep-2009 20:13:54 (UTC+8) | - |
| dc.date.issued (上傳時間) | 18-Sep-2009 20:13:54 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0094356003 | en_US |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/36941 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 資訊管理研究所 | zh_TW |
| dc.description (描述) | 94356003 | zh_TW |
| dc.description (描述) | 95 | zh_TW |
| dc.description.abstract (摘要) | 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。 | zh_TW |
| dc.description.abstract (摘要) | 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. | en_US |
| dc.description.tableofcontents | 致謝 IAbstract II摘要 IIITable of Contents IVList of Figures VList of Tables VIChapter 1 Introduction 11.1. Research Background 11.2. Research Motivation 11.3. Research Objectives 21.4. Thesis Organization 2Chapter 2 Literature Review 32.1. Semantic Network 32.2. Chinese Word Segmentation 32.3. TFIDF (Term Frequency–Inverse Document Frequency) 42.4. The Structure of Meaning 4Chapter 3 Research Method 63.1. Definition 63.2. Construction Process 83.3. Data Preparation 93.4. Word Base Construction 93.5. Semantic Similarity Calculation 103.6. Relation Identifier Retrieval 113.7. Verification 15Chapter 4 Result 16Chapter 5 Conclusion 19References 20Appendix A. Terms in Dictionary 21Appendix B Relations among terms 28B.1 Relations Ordered by Semantic Similarity 28B.2 Relations Ordered by English Term Name 45Appendix C Example of Relation Identifiers Retrieved by Different Methods 64C.1 Relation Identifier “是一種” Retrieved by Morphemes 64C.2 Relation Identifier “等同於” Retrieved by Syntax Patterns 68C.3 Relation Identifier “是一種” Retrieved by Syntax Patterns 70Appendix D Lexical Semantic Networks 74 | zh_TW |
| dc.format.extent | 50633 bytes | - |
| dc.format.extent | 104041 bytes | - |
| dc.format.extent | 103995 bytes | - |
| dc.format.extent | 134272 bytes | - |
| dc.format.extent | 161643 bytes | - |
| dc.format.extent | 200821 bytes | - |
| dc.format.extent | 487098 bytes | - |
| dc.format.extent | 196897 bytes | - |
| dc.format.extent | 15471 bytes | - |
| dc.format.extent | 28270 bytes | - |
| dc.format.extent | 1119232 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.format.mimetype | application/pdf | - |
| dc.format.mimetype | application/pdf | - |
| dc.format.mimetype | application/pdf | - |
| dc.format.mimetype | application/pdf | - |
| dc.format.mimetype | application/pdf | - |
| dc.format.mimetype | application/pdf | - |
| dc.format.mimetype | application/pdf | - |
| dc.format.mimetype | application/pdf | - |
| dc.format.mimetype | application/pdf | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0094356003 | en_US |
| dc.subject (關鍵詞) | 中文斷詞 | zh_TW |
| dc.subject (關鍵詞) | 特徵向量 | zh_TW |
| dc.subject (關鍵詞) | 詞空間 | zh_TW |
| dc.subject (關鍵詞) | 語義網路 | zh_TW |
| dc.subject (關鍵詞) | 語義相似度 | zh_TW |
| dc.subject (關鍵詞) | Chinese word segmentation | en_US |
| dc.subject (關鍵詞) | Feature vector | en_US |
| dc.subject (關鍵詞) | Word space | en_US |
| dc.subject (關鍵詞) | Semantic network | en_US |
| dc.subject (關鍵詞) | Semantic similarity | en_US |
| dc.title (題名) | 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 | zh_TW |
| dc.title (題名) | The Construction of a Lexical-semantic Network Based on Domain Dictionary: Dictionary of Finance and Banking as an Example | en_US |
| dc.type (資料類型) | thesis | en |
| dc.relation.reference (參考文獻) | [1] M.R.Quillian; Semantic memory. In; M.Minsky (Ed.) Semantic information processing; MIT Press, Cambridge, 227-270 (1968). | zh_TW |
| dc.relation.reference (參考文獻) | [2] R.F.Simmons, J.Slocum; Generating English Discourse from Semantic Networks, Communications of the ACM; 15(10), 891-905 (1972). | zh_TW |
| dc.relation.reference (參考文獻) | [3] HowNet, URL: http://www.keenage.com/. | zh_TW |
| dc.relation.reference (參考文獻) | [4] WordNet, URL: http://wordnet.princeton.edu/. | zh_TW |
| dc.relation.reference (參考文獻) | [5] Chinese Word Segmentation System of Academia Sinica, URL: http://ckipsvr.iis.sinica.edu.tw/. | zh_TW |
| dc.relation.reference (參考文獻) | [6] J.Allen; Natural Language Understanding 2nd ed.; Benjamin & Cummings, Redwood, 195 (1995). | zh_TW |
| dc.relation.reference (參考文獻) | [7] S.Dominich; A Unified Mathematical Definition of Classical Information Retrieval, Journal of the American Society for Information Science; 51(7), 614-625 (2000). | zh_TW |
| dc.relation.reference (參考文獻) | [8] V.Fromkin, R.Rodman, N.Hyams; An Introduction to Language 7th ed.; Thomson Wadsworth, Boston, 75-77 (2002). | zh_TW |
| dc.relation.reference (參考文獻) | [9] J.I.Saeed; Semantics 2nd ed.; Blackwell Publishing, Malden, 247-248 (2003). | zh_TW |
| dc.relation.reference (參考文獻) | [10] R.R.K.Hartmann, G.James; Dictionary of Lexicography; Foreign Language Teaching and Research Press, Beijing, 110 (2000). | zh_TW |
| dc.relation.reference (參考文獻) | [11] Q.C.Wang, et al.; Dictionary of Finance and Banking; Wunan, Taipei, 1-80 (2001). | zh_TW |
| dc.relation.reference (參考文獻) | [12] C.D.Manning, H.Schütze; Foundations of Statistical Natural Language Processing; MIT Press, Cambridge (1999). | zh_TW |
