Thesis (Ph. D.)--University of Hong Kong, 1998. / Includes bibliographical references (leaves 230-258).

Thesis (M.A.)--University of Hong Kong, 1998. / Includes bibliographical references (leaves 59-61). Also available in print.

Thesis (M.A.)--University of Hong Kong, 1981. / Also available in print.

Thesis (M.A.)--University of Hong Kong, 1994. / Includes bibliographical references. Also available in print.

Thesis (M.Ed.)--University of Hong Kong, 1982. / Includes bibliographical references (leaf 201-205). Also available in print.

Thesis (M.Med.Sc.)--University of Hong Kong, 2003. / Also available in print.

Thesis (L.L.M.)--University of Hong Kong, 1996. / Includes bibliographical references. Also available in print.

Thesis (L.L.M.)--University of Hong Kong, 1991. / Also available in print.

Thesis (M.Soc.Sc.)--University of Hong Kong, 1996. / Includes bibliographical references (leaf 103-110) Also available in print.

by Leung Chi Hong. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1992. / Includes bibliographical references (leaves 183-184). / Chapter Chapter one: --- Introduction --- p.1 / Chapter Chapter two: --- Background knowledge and linguistic approaches of automatic indexing --- p.5 / Chapter 2.1 --- Definition of index and indexing --- p.5 / Chapter 2.2 --- Indexing methods and problems --- p.7 / Chapter 2.3 --- Automatic indexing and human indexing --- p.8 / Chapter 2.4 --- Different approaches of automatic indexing --- p.10 / Chapter 2.5 --- Example of semantic approach --- p.11 / Chapter 2.6 --- Example of syntactic approach --- p.14 / Chapter 2.7 --- Comments on semantic and syntactic approaches --- p.18 / Chapter Chapter three: --- Rationale and methodology of automatic index generation --- p.19 / Chapter 3.1 --- Problems caused by natural language --- p.19 / Chapter 3.2 --- Usage of word frequencies --- p.20 / Chapter 3.3 --- Brief description of rationale --- p.24 / Chapter 3.4 --- Automatic index generation --- p.27 / Chapter 3.4.1 --- Training phase --- p.27 / Chapter 3.4.1.1 --- Selection of training documents --- p.28 / Chapter 3.4.1.2 --- Control and standardization of variants of words --- p.28 / Chapter 3.4.1.3 --- Calculation of associations between words and indexes --- p.30 / Chapter 3.4.1.4 --- Discarding false associations --- p.33 / Chapter 3.4.2 --- Indexing phase --- p.38 / Chapter 3.4.3 --- Example of automatic indexing --- p.41 / Chapter 3.5 --- Related researches --- p.44 / Chapter 3.6 --- Word diversity and its effect on automatic indexing --- p.46 / Chapter 3.7 --- Factors affecting performance of automatic indexing --- p.60 / Chapter 3.8 --- Application of semantic representation --- p.61 / Chapter 3.8.1 --- Problem of natural language --- p.61 / Chapter 3.8.2 --- Use of concept headings --- p.62 / Chapter 3.8.3 --- Example of using concept headings in automatic indexing --- p.65 / Chapter 3.8.4 --- Advantages of concept headings --- p.68 / Chapter 3.8.5 --- Disadvantages of concept headings --- p.69 / Chapter 3.9 --- Correctness prediction for proposed indexes --- p.78 / Chapter 3.9.1 --- Example of using index proposing rate --- p.80 / Chapter 3.10 --- Effect of subject matter on automatic indexing --- p.83 / Chapter 3.11 --- Comparison with other indexing methods --- p.85 / Chapter 3.12 --- Proposal for applying Chinese medical knowledge --- p.90 / Chapter Chapter four: --- Simulations of automatic index generation --- p.93 / Chapter 4.1 --- Training phase simulations --- p.93 / Chapter 4.1.1 --- Simulation of association calculation (word diversity uncontrolled) --- p.94 / Chapter 4.1.2 --- Simulation of association calculation (word diversity controlled) --- p.102 / Chapter 4.1.3 --- Simulation of discarding false associations --- p.107 / Chapter 4.2 --- Indexing phase simulation --- p.115 / Chapter 4.3 --- Simulation of using concept headings --- p.120 / Chapter 4.4 --- Simulation for testing performance of predicting index correctness --- p.125 / Chapter 4.5 --- Summary --- p.128 / Chapter Chapter five: --- Real case study in database of Chinese Medicinal Material Research Center --- p.130 / Chapter 5.1 --- Selection of real documents --- p.130 / Chapter 5.2 --- Case study one: Overall performance using real data --- p.132 / Chapter 5.2.1 --- Sample results of automatic indexing for real documents --- p.138 / Chapter 5.3 --- Case study two: Using multi-word terms --- p.148 / Chapter 5.4 --- Case study three: Using concept headings --- p.152 / Chapter 5.5 --- Case study four: Prediction of proposed index correctness --- p.156 / Chapter 5.6 --- Case study five: Use of (Σ ΔRij) Fi to determine false association --- p.159 / Chapter 5.7 --- Case study six: Effect of word diversity --- p.162 / Chapter 5.8 --- Summary --- p.166 / Chapter Chapter six: --- Conclusion --- p.168 / Appendix A: List of stopwords --- p.173 / Appendix B: Index terms used in case studies --- p.174 / References --- p.183