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Computational Linguistics and Intelligent Text Processing

This book constitutes the refereed proceedings of the Second International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2001, held in Mexico City, Mexico in February 2001. The 38 revised full papers and 12 short papers presented together with three invited papers were carefully reviewed and selected from 72 submissions. The books is divided in topical sections on computational linguistic theories, semantics, anaphora and reference, disambiguation, translation, text generation, dictionaries and corpora, morphology, parsing techniques, text categorization, information retrieval, and structure identification and text mining.
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Table of Contents

Computational Linguistics.- What Is a Natural Language and How to Describe It? Meaning-Text Approaches in Contrast with Generative Approaches.- A Fully Lexicalized Grammar for French Based on Meaning-Text Theory.- Modeling the Level of Involvement of Verbal Arguments.- Magical Number Seven Plus or Minus Two: Syntactic Structure Recognition in Japanese and English Sentences.- Spatio-temporal Indexing in Database Semantics.- Russellian and Strawsonian Definite Descriptions in Situation Semantics.- Treatment of Personal Pronouns Based on Their Parameterization.- Modeling Textual Context in Linguistic Pattern Matching.- Statistical Methods in Studying the Semantics of Size Adjectives.- Numerical Model of the Strategy for Choosing Polite Expressions.- Outstanding Issues in Anaphora Resolution.- PHORA: A NLP System for Spanish.- Belief Revision on Anaphora Resolution.- A Machine-Learning Approach to Estimating the Referential Properties of Japanese Noun Phrases.- The Referring Expressions in the Other's Comment.- Lexical Semantic Ambiguity Resolution with Bigram-Based Decision Trees.- Interpretation of Compound Nominals Using WordNet.- Specification Marks for Word Sense Disambiguation: New Development.- Three Mechanisms of Parser Driving for Structure Disambiguation.- Recent Research in the Field of Example-Based Machine Translation.- Intelligent Case Based Machine Translation System.- A Hierarchical Phrase Alignment from English and Japanese Bilingual Text.- Title Generation Using a Training Corpus.- A New Approach in Building a Corpus for Natural Language Generation Systems.- A Study on Text Generation from Non-verbal Information on 2D Charts.- Interactive Multilingual Generation.- A Computational Feature Analysis for Multilingual Character-to-Character Dialogue.- Experiments on Extracting Knowledge from a Machine-Readable Dictionary of Synonym Differences.- Recognition of Author's Scientific and Technical Terms.- Lexical-Semantic Tagging of an Italian Corpus.- Meaning Sort - Three Examples: Dictionary Construction, Tagged Corpus Construction, and Information Presentation System -.- Converting Morphological Information Using Lexicalized and General Conversion.- Zipf and Heaps Laws' Coefficients Depend on Language.- Applying Productive Derivational Morphology to Term Indexing of Spanish Texts.- Unification-Based Lexicon and Morphology with Speculative Feature Signalling.- A Method of Pre-computing Connectivity Relations for Japanese/Korean POS Tagging.- A Hybrid Approach of Text Segmentation Based on Sensitive Word Concept for NLP.- Web-Based Arabic Morphological Analyzer.- Stochastic Parsing and Parallelism.- Practical Nondeterministic DR(k) Parsing on Graph-Structured Stack.- Intelligent Text Processing.- Text Categorization Using Adaptive Context Trees.- Text Categorization through Multistrategy Learning and Visualization.- Automatic Topic Identification Using Ontology Hierarchy.- Software for Creating Domain-Oriented Dictionaries and Document Clustering in Full-Text Databases.- Chi-Square Classifier for Document Categorization.- Information Retrieval of Electronic Medical Records.- Automatic Keyword Extraction Using Domain Knowledge.- Approximate VLDC Pattern Matching in Shared-Forest.- Knowledge Engineering for Intelligent Information Retrieval.- Is Peritext a Key for Audiovisual Documents? The Use of Texts Describing Television Programs to Assist Indexing.- An Information Space Using Topic Identification for Retrieved Documents.- Contextual Rules for Text Analysis.- Finding Correlative Associations among News Topics.

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