by Lam Sze-sing. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leaves 119-123). / Chapter CHAPTER 1 --- INTRODUCTION --- p.1 / Chapter 1.1 --- Introduction --- p.1 / Chapter 1.2 --- Statement of Thesis --- p.5 / Chapter 1.3 --- Organization of this Thesis --- p.6 / Chapter CHAPTER 2 --- RELATED WORK --- p.8 / Chapter 2.1 --- Overview --- p.8 / Chapter 2.2 --- Corpus-Based Knowledge Acquisition --- p.12 / Chapter 2.3 --- Linguistic-Based Knowledge Acquisition --- p.18 / Chapter 2.3.1 --- Knowledge Acquisition from Standard Dictionaries --- p.18 / Chapter 2.3.2 --- Knowledge Acquisition from Standard Thesauri --- p.23 / Chapter 2.4 --- Remarks --- p.24 / Chapter CHAPTER 3 --- A METHOD TO EXTRACT THE INTER-WORD SEMANTIC RELATIONSHIP FROM《同義詞詞林》 --- p.25 / Chapter 3.1 --- Background --- p.25 / Chapter 3.1.1 --- Structure of《《同義詞詞林》 --- p.26 / Chapter 3.1.2 --- Knowledge Representation of a Machine Tractable Thesaurus --- p.28 / Chapter 3.1.3 --- Extracting the Semantic Knowledge by Simple Co-occurrence --- p.28 / Chapter 3.2 --- Association Network --- p.31 / Chapter 3.3 --- Semantic Association Model --- p.33 / Chapter 3.3.1 --- Problems with the Simple Co-occurrence Method --- p.34 / Chapter 3.3.2 --- Methodology of Semantic Association Model --- p.39 / Chapter 3.4 --- Inter-word Semantic Function ..… --- p.51 / Chapter CHAPTER 4 --- NOUN-VERB-NOUN COMPOUND WORD DETECTION : AN EXPERIMENT --- p.55 / Chapter 4.1 --- Overview --- p.56 / Chapter 4.2 --- N-V-N Compound Word Detection Model --- p.61 / Chapter 4.3 --- Experimental Results of N-V-N Compound Word Detection --- p.63 / Chapter CHAPTER 5 --- WORD SENSE DISAMBIGUATION : AN APPLICATION … --- p.66 / Chapter 5.1 --- Overview --- p.67 / Chapter 5.2 --- Word-Sense Disambiguation Model --- p.72 / Chapter 5.2.1 --- Linguistic Resource --- p.72 / Chapter 5.2.2 --- The LSD-C Algorithm --- p.73 / Chapter 5.2.3 --- LSD-C in Action --- p.78 / Chapter 5.3 --- Experimental Results of Word Sense Disambiguation --- p.83 / Chapter CHAPTER 6 --- CONCLUSIONS & FURTHER RESEARCH --- p.93 / Chapter 6.1 --- Conclusions --- p.93 / Chapter 6.2 --- Further Research --- p.96 / Chapter 6.2.1 --- Enriching the Knowledge --- p.96 / Chapter 6.2.2 --- Enhancing the N-V-N Compound Word Detection Model --- p.98 / Chapter 6.2.3 --- Enhancing the LSD-C Algorithm --- p.99 / APPENDICES --- p.101 / Appendix A - Dependency Grammar --- p.101 / Appendix B - Sample Articles from a Local Chinese Newspaper --- p.104 / Appendix C - Ambiguous Words with the Senses Given by《現代漢語詞 典》 --- p.108 / Appendix D - List of Stop Words for the Testing Samples --- p.117 / REFERENCES --- p.119
Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_320647 |
Date | January 1995 |
Contributors | Lam, Sze-sing., Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management. |
Publisher | Chinese University of Hong Kong |
Source Sets | The Chinese University of Hong Kong |
Language | English |
Detected Language | English |
Type | Text, bibliography |
Format | print, viii, 123 leaves : ill. ; 30 cm. |
Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
Page generated in 0.0093 seconds