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An investigation on Chinese noun phrase extraction.

Chan Kun-Chung Timothy. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 79-83). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Motivation --- p.1 / Chapter 1.2 --- Outline of Thesis --- p.3 / Chapter 2 --- Background --- p.5 / Chapter 2.1 --- Chinese Noun Phrase Structure --- p.5 / Chapter 2.2 --- Literature Review --- p.6 / Chapter 2.3 --- Observations --- p.10 / Chapter 2.4 --- Chapter Summary --- p.11 / Chapter 3 --- Maximal Chinese Noun Phrase Extraction System --- p.13 / Chapter 3.1 --- Background --- p.13 / Chapter 3.1.1 --- Part-of-speech Tagset --- p.13 / Chapter 3.1.2 --- The Tagging System --- p.14 / Chapter 3.1.3 --- Chinese Corpus --- p.16 / Chapter 3.1.4 --- Grammar Rules and Boundary Information --- p.17 / Chapter 3.1.5 --- Feature Selection --- p.19 / Chapter 3.2 --- Overview of Our Chinese Noun Phrase Extraction System --- p.19 / Chapter 3.2.1 --- Training --- p.19 / Chapter 3.2.2 --- Testing --- p.21 / Chapter 3.3 --- Chapter Summary --- p.21 / Chapter 4 --- Preliminary Noun Phrase Extraction --- p.23 / Chapter 4.1 --- Framework --- p.23 / Chapter 4.2 --- Boundary Information Acquisition --- p.24 / Chapter 4.3 --- Candidate Boundary Insertion --- p.26 / Chapter 4.4 --- Pairing of Candidate Boundaries --- p.27 / Chapter 4.4.1 --- Conditional Probability-based Model --- p.28 / Chapter 4.4.2 --- Heuristic-based Model --- p.29 / Chapter 4.4.3 --- Dynamic Programming-based Model --- p.30 / Chapter 4.4.4 --- Model Selection --- p.31 / Chapter 4.4.5 --- Revised Dynamic Programming Model --- p.32 / Chapter 4.4.6 --- Analysis of the Impact of the Revised DP Model --- p.35 / Chapter 4.4.7 --- Experiments of Dynamic Programming-based Model --- p.38 / Chapter 4.4.8 --- Result Analysis --- p.42 / Chapter 4.5 --- Concluding Remarks on DP-Based Model --- p.47 / Chapter 4.6 --- Chapter Summary --- p.49 / Chapter 5 --- Automatic Error Correction --- p.50 / Chapter 5.1 --- Introduction --- p.50 / Chapter 5.1.1 --- Statistical Properties of TEL --- p.54 / Chapter 5.1.2 --- Related Applications --- p.55 / Chapter 5.2 --- Settings of Main Components --- p.57 / Chapter 5.2.1 --- Initial State --- p.58 / Chapter 5.2.2 --- Transformation Actions --- p.58 / Chapter 5.2.3 --- Triggering Features of Transformation Templates --- p.58 / Chapter 5.2.4 --- Evaluation of Rule --- p.62 / Chapter 5.2.5 --- Stopping Threshold --- p.62 / Chapter 5.3 --- Experiments and Results --- p.63 / Chapter 5.3.1 --- Setup and Procedure --- p.63 / Chapter 5.3.2 --- Overall Performance --- p.63 / Chapter 5.3.3 --- Contribution of Rules --- p.67 / Chapter 5.3.4 --- Remarks on Rules Learning --- p.69 / Chapter 5.3.5 --- Discussion on Recall Performance --- p.70 / Chapter 5.4 --- Chapter Summary --- p.73 / Chapter 6 --- Conclusion --- p.74 / Chapter 6.1 --- Summary --- p.74 / Chapter 6.2 --- Contributions --- p.76 / Chapter 6.3 --- Future Work --- p.76 / Bibliography --- p.79 / Chapter A --- Chinese POS Tag Set --- p.84 / Chapter B --- Algorithms of Boundary Pairing Models --- p.88 / Chapter B.1 --- Heuristic based Model --- p.88 / Chapter B.2 --- Dynamic Programming based Model --- p.89 / Chapter C --- Triggering Environments of Transformation Templates --- p.91

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_323210
Date January 2000
ContributorsChan, Kun-Chung Timothy., Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, x, 92 leaves : ill. ; 30 cm.
RightsUse 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/)

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