Computational Linguistics and Intelligent Text Processing: Second International Conference, CICLing 2001, Mexico-City, Mexico, February 18-24, 2001. ProceedingsAlexander Gelbukh CICLing 2001 is the second annual Conference on Intelligent text processing and Computational Linguistics (hence the name CICLing), see www.CICLing.org. It is intended to provide a balanced view of the cutting edge developments in both theoretical foundations of computational linguistics and practice of natural language text processing with its numerous applications. A feature of the CICLing conferences is their wide scope that covers nearly all areas of computational linguistics and all aspects of natural language processing applications. The conference is a forum for dialogue between the specialists working in these two areas. This year our invited speakers were Graeme Hirst (U. Toronto, Canada), Sylvain Kahane (U. Paris 7, France), and Ruslan Mitkov (U. Wolverhampton, UK). They delivered excellent extended lectures and organized vivid discussions. A total of 72 submissions were received, all but very few of surprisingly high quality. After careful reviewing, the Program Committee selected for presentation 53 of them, 41 as full papers and 12 as short papers, by 98 authors from 19 countries: Spain (19 authors), Japan (15), USA (12), France, Mexico (9 each), Sweden (6), Canada, China, Germany, Italy, Malaysia, Russia, United Arab Emirates (3 each), Argentina (2), Bulgaria, The Netherlands, Ukraine, UK, and Uruguay (1 each). |
Contents
1 | |
18 | |
Modeling the Level of Involvement of Verbal Arguments | 32 |
Syntactic Structure Recognition in Japanese and English Sentences | 43 |
Spatiotemporal Indexing in Database Semantics | 53 |
Russellian and Strawsonian Definite Descriptions in Situation Semantics | 69 |
Treatment of Personal Pronouns Based on Their Parameterization | 80 |
Modeling Textual Context in Linguistic Pattern Matching | 93 |
Recognition ofAuthors Scientific and Technical Terms | 281 |
LexicalSemantic Tagging of an Italian Corpus | 291 |
Dictionary ConstructionTagged Corpus Construction and Information Presentation System | 305 |
Converting Morphological Information Using Lexicalized and General Conversion | 319 |
Zipf and Heaps Laws Coefficients Depend on Language | 332 |
Applying Productive Derivational Morphologyto Term Indexing of Spanish Texts | 336 |
UnificationBased Lexicon and Morphology with Speculative Feature Signalling | 349 |
A Method of Precomputing ConnectivityRelations for JapaneseKorean POS Tagging | 363 |
Statistical Methods in Studying the Semantics of Size Adjectives | 96 |
Numerical Model of the Strategy for Choosing Polite Expressions | 98 |
Outstanding Issues in Anaphora Resolution | 110 |
A NLP System for Spanish | 126 |
Belief Revision on Anaphora Resolution | 140 |
A MachineLearning Approach to Estimating the Referential Properties of Japanese Noun Phrases | 142 |
The Referring Expressions in the Others Comment | 155 |
Lexical Semantic Ambiguity Resolution with BigramBased Decision Trees | 157 |
Interpretation of Compound Nominals Using WordNet | 169 |
New Development | 182 |
Three Mechanisms of Parser Drivingfor Structure Disambiguation | 192 |
Recent Research in the Field of ExampleBased Machine Translation | 195 |
Intelligent Case Based Machine Translation System | 197 |
A Hierarchical Phrase Alignment from English and Japanese Bilingual Text | 206 |
Title Generation Using a Training Corpus | 208 |
A New Approach in Building a Corpusfor Natural Language Generation Systems | 216 |
A Study on Text Generationfrom Nonverbal Information on 2D Charts | 226 |
Interactive Multilingual Generation | 239 |
A Computational Feature Analysis for Multilingual CharactertoCharacter Dialogue | 251 |
Experiments on Extracting Knowledge from a MachineReadable Dictionary of Synonym Differences | 265 |
A Hybrid Approach of Text Segmentation Based on Sensitive Word Concept for NLP | 375 |
WebBased Arabic Morphological Analyzer | 389 |
Stochastic Parsing and Parallelism | 401 |
Practical Nondeterministic DRk Parsingon GraphStructured Stack | 411 |
Text Categorization Using Adaptive Context Trees | 423 |
Text Categorization through Multistrategy Learning and Visualization | 437 |
Automatic Topic Identification Using Ontology Hierarchy | 444 |
Software for Creating DomainOriented Dictionaries and Document Clustering in FullText Databases | 454 |
ChiSquare Classifier for Document Categorization | 457 |
Information Retrieval of Electronic Medical Records | 460 |
Automatic Keyword Extraction Using Domain Knowledge | 472 |
Approximate VLDC Pattern Matching in SharedForest | 483 |
Know ledge Engineering forIntelligent Information Retrieval | 495 |
Is Peritext a Key for Audiovisual Documents? The Use of Texts Describing Television Programs to Assist Indexing | 505 |
An Information Space Using Topic Identification for Retrieved Documents | 507 |
Contextual Rules for Text Analysis | 509 |
Finding Correlative Associations among News Topics | 524 |
527 | |
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Common terms and phrases
Abstract algorithm ambiguity anaphora resolution annotation applied approach author's terms automatic Berlin Heidelberg 2001 bigram CICLing classified clause Computational Linguistics concept context contributing properties corpora corpus corresponding CYK algorithm database decision tree defined denotes dependency described dictionary disambiguation document domain English evaluation example expressions extraction formal frequency Gelbukh grammar heuristic human Hypernym hyponym implementation indexing input Japanese keywords label lexemes lexical units lexicon line chart LR(k Machine Learning Machine Translation meaning method module morphemes morphological analysis Msort Natural Language Processing near-synonyms node noun phrases ontology output P-pronouns parser parsing Proceedings pronouns proplets proposition reference relation representation represented rules segmentation semantic sensitive words sentence Spanish speaker specific Springer-Verlag Berlin Heidelberg stack STAR point string structure suffix synsets syntactic Table tagged thesaurus tion token topic types values vector verb word sense word sense disambiguation WordNet