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Conditional random fields with dynamic potentials for Chinese named entity recognition.

Wu, Yiu Kei. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2008. / Includes bibliographical references (p. 69-75). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Chinese NER Problem --- p.1 / Chapter 1.2 --- Contribution of Our Proposed Framework --- p.3 / Chapter 2 --- Related Work --- p.6 / Chapter 2.1 --- Hidden Markov Models --- p.7 / Chapter 2.2 --- Maximum Entropy Models --- p.8 / Chapter 2.3 --- Conditional Random Fields --- p.10 / Chapter 3 --- Our Proposed Model --- p.14 / Chapter 3.1 --- Background --- p.14 / Chapter 3.1.1 --- Problem Formulation --- p.14 / Chapter 3.1.2 --- Conditional Random Fields --- p.16 / Chapter 3.1.3 --- Semi-Markov Conditional Random Fields --- p.26 / Chapter 3.2 --- The Formulation of Our Proposed Model --- p.28 / Chapter 3.2.1 --- The Main Principle --- p.28 / Chapter 3.2.2 --- The Detailed Formulation --- p.36 / Chapter 3.2.3 --- Adapting Features from Original CRF to CRFDP --- p.51 / Chapter 4 --- Experiments --- p.54 / Chapter 4.1 --- Datasets --- p.55 / Chapter 4.2 --- Features --- p.57 / Chapter 4.3 --- Evaluation Metrics --- p.61 / Chapter 4.4 --- Results and Discussion --- p.63 / Chapter 5 --- Conclusions and Future Work --- p.67 / Bibliography --- p.69 / A --- p.76 / B --- p.78 / C --- p.88

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_326569
Date January 2008
ContributorsWu, Yiu Kei., 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, viii, 97 p. : 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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