My Account Log in

1 option

Computational Linguistics and Intelligent Text Processing : Second International Conference, CICLing 2001, Mexico-City, Mexico, February 18-24, 2001. Proceedings / edited by Alexander Gelbukh.

LIBRA Q341 .P7 2004
Loading location information...

Available from offsite location This item is stored in our repository but can be checked out.

Log in to request item
Format:
Book
Contributor:
Gelbukh, Alexander, 1962- editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science 0302-9743 ; 2004.
Lecture Notes in Computer Science, 0302-9743 ; 2004
Language:
English
Subjects (All):
Natural language processing (Computer science).
Translating and interpreting.
Computational linguistics.
Artificial intelligence.
Logic, Symbolic and mathematical.
Information storage and retrieval.
Natural Language Processing (NLP).
Translation.
Computational Linguistics.
Artificial Intelligence.
Mathematical Logic and Formal Languages.
Information Storage and Retrieval.
Local Subjects:
Natural Language Processing (NLP).
Translation.
Computational Linguistics.
Artificial Intelligence.
Mathematical Logic and Formal Languages.
Information Storage and Retrieval.
Physical Description:
1 online resource (XII, 536 pages).
Edition:
First edition 2001.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
System Details:
text file PDF
Summary:
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:
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.
Other Format:
Printed edition:
ISBN:
978-3-540-44686-6
9783540446866
Access Restriction:
Restricted for use by site license.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account