Extracting causation knowledge from natural language texts.

Chan Ki, Cecia.Thesis (M.Phil.)--Chinese University of Hong Kong, 2002.Includes bibliographical references (leaves 95-99).Abstracts in English and Chinese.Chapter 1 --- Introduction --- p.1Chapter 1.1 --- Our Contributions --- p.4Chapter 1.2 --- Thesis Organization --- p.5Chapter 2 --- Related Work --- p.6Chapter 2.1 --- Using Knowledge-based Inferences --- p.7Chapter 2.2 --- Using Linguistic Techniques --- p.8Chapter 2.2.1 --- Using Linguistic Clues --- p.8Chapter 2.2.2 --- Using Graphical Patterns --- p.9Chapter 2.2.3 --- Using Lexicon-syntactic Patterns of Causative Verbs --- p.10Chapter 2.2.4 --- Comparisons with Our Approach --- p.10Chapter 2.3 --- Discovery of Extraction Patterns for Extracting Relations --- p.11Chapter 2.3.1 --- Snowball system --- p.12Chapter 2.3.2 --- DIRT system --- p.12Chapter 2.3.3 --- Comparisons with Our Approach --- p.13Chapter 3 --- Semantic Expectation-based Knowledge Extraction --- p.14Chapter 3.1 --- Semantic Expectations --- p.14Chapter 3.2 --- Semantic Template --- p.16Chapter 3.2.1 --- Causation Semantic Template --- p.16Chapter 3.3 --- Sentence Templates --- p.17Chapter 3.4 --- Consequence and Reason Templates --- p.22Chapter 3.5 --- Causation Knowledge Extraction Framework --- p.25Chapter 3.5.1 --- Template Design --- p.25Chapter 3.5.2 --- Sentence Screening --- p.27Chapter 3.5.3 --- Semantic Processing --- p.28Chapter 4 --- Using Thesaurus and Pattern Discovery for SEKE --- p.33Chapter 4.1 --- Using a Thesaurus --- p.34Chapter 4.2 --- Pattern Discovery --- p.37Chapter 4.2.1 --- Use of Semantic Expectation-based Knowledge Extraction --- p.37Chapter 4.2.2 --- Use of Part of Speech Information --- p.39Chapter 4.2.3 --- Pattern Representation --- p.39Chapter 4.2.4 --- Constructing the Patterns --- p.40Chapter 4.2.5 --- Merging the Patterns --- p.43Chapter 4.3 --- Pattern Matching --- p.44Chapter 4.3.1 --- Matching Score --- p.46Chapter 4.3.2 --- Support of Patterns --- p.48Chapter 4.3.3 --- Relevancy of Sentence Templates --- p.48Chapter 4.4 --- Applying the Newly Discovered Patterns --- p.49Chapter 5 --- Applying SEKE on Hong Kong Stock Market Domain --- p.52Chapter 5.1 --- Template Design --- p.53Chapter 5.1.1 --- Semantic Templates --- p.53Chapter 5.1.2 --- Sentence Templates --- p.53Chapter 5.1.3 --- Consequence and Reason Templates: --- p.55Chapter 5.2 --- Pattern Discovery --- p.58Chapter 5.2.1 --- Support of Patterns --- p.58Chapter 5.2.2 --- Relevancy of Sentence Templates --- p.58Chapter 5.3 --- Causation Knowledge Extraction Result --- p.58Chapter 5.3.1 --- Evaluation Approach --- p.61Chapter 5.3.2 --- Parameter Investigations --- p.61Chapter 5.3.3 --- Experimental Results --- p.65Chapter 5.3.4 --- Knowledge Discovered --- p.68Chapter 5.3.5 --- Parameter Effect --- p.75Chapter 6 --- Applying SEKE on Global Warming Domain --- p.80Chapter 6.1 --- Template Design --- p.80Chapter 6.1.1 --- Semantic Templates --- p.81Chapter 6.1.2 --- Sentence Templates --- p.81Chapter 6.1.3 --- Consequence and Reason Templates --- p.83Chapter 6.2 --- Pattern Discovery --- p.85Chapter 6.2.1 --- Support of Patterns --- p.85Chapter 6.2.2 --- Relevancy of Sentence Templates --- p.85Chapter 6.3 --- Global Warming Domain Result --- p.85Chapter 6.3.1 --- Evaluation Approach --- p.85Chapter 6.3.2 --- Experimental Results --- p.88Chapter 6.3.3 --- Knowledge Discovered --- p.89Chapter 7 --- Conclusions and Future Directions --- p.92Chapter 7.1 --- Conclusions --- p.92Chapter 7.2 --- Future Directions --- p.93Bibliography --- p.95Chapter A --- Penn Treebank Part of Speech Tags --- p.10