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Computational Linguistics and Intelligent Text Processing

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Cover of 'Computational Linguistics and Intelligent Text Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Multiword Expressions: A Pain in the Neck for NLP
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    Chapter 2 A Hypothesis on the Origin of the Sign Types
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    Chapter 3 Quantification and Intensionality in Situation Semantics
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    Chapter 4 Generalized Quantification in Situation Semantics
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    Chapter 5 Sign Language Translation via DRT and HPSG
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    Chapter 6 Multilayered Extended Semantic Networks as a Language for Meaning Representation in NLP Systems
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    Chapter 7 Constructing a Sensuous Judgment System Based on Conceptual Processing
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    Chapter 8 Towards a Natural Language Driven Automated Help Desk
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    Chapter 9 Lexical Tuning
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    Chapter 10 A Baseline Methodology for Word Sense Disambiguation
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    Chapter 11 An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet
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    Chapter 12 Feature Selection Analysis for Maximum Entropy-Based WSD
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    Chapter 13 Combining Supervised-Unsupervised Methods for Word Sense Disambiguation
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    Chapter 14 A Proposal for WSD Using Semantic Similarity
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    Chapter 15 A New, Fully Automatic Version of Mitkov’s Knowledge-Poor Pronoun Resolution Method
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    Chapter 16 Pronominal Anaphora Generation in an English-Spanish MT Approach
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    Chapter 17 Using LSA for Pronominal Anaphora Resolution
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    Chapter 18 The Spanish Auxiliary Verb System in HPSG
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    Chapter 19 Surface Syntactic Relations in Spanish
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    Chapter 20 Parsing Ill-Formed Inputs with Constraint Graphs
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    Chapter 21 Part-of-Speech Tagging with Evolutionary Algorithms
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    Chapter 22 Formal Methods of Tokenization for Part-of-Speech Tagging
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    Chapter 23 Sepe: A POS Tagger for Spanish
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    Chapter 24 Fuzzy Set Tagging
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    Chapter 25 Towards a Standard for a Multilingual Lexical Entry: The EAGLES/ISLE Initiative
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    Chapter 26 Quantitative Comparison of Homonymy in Spanish EuroWordNet and Traditional Dictionaries
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    Chapter 27 Compilation of a Spanish Representative Corpus
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    Chapter 28 Aligning Multiword Terms Using a Hybrid Approach
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    Chapter 29 Automatic Selection of Defining Vocabulary in an Explanatory Dictionary
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    Chapter 30 Integrated Natural Language Generation with Schema-Tree Adjoining Grammars
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    Chapter 31 Experiments with a Bilingual Document Generation Environment
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    Chapter 32 A Computational Model of Change in Politeness with the Addition of Word Endings
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    Chapter 33 Tartar Morphology Implementation
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    Chapter 34 Automatic Generation of Pronunciation Lexicons for Spanish
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    Chapter 35 Diacritics Restoration: Learning from Letters versus Learning from Words
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    Chapter 36 A Comparative Study of Information Extraction Strategies
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    Chapter 37 Answer Extraction in Technical Domains
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    Chapter 38 Automatic Extraction of Non-standard Lexical Data for a Metalinguistic Information Database
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    Chapter 39 Text Segmentation for Efficient Information Retrieval
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    Chapter 40 Using Syntactic Dependency-Pairs Conflation to Improve Retrieval Performance in Spanish
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    Chapter 41 Multi-document Summarization Using Informative Words and Its Evaluation with a QA System
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    Chapter 42 Automated Selection of Interesting Medical Text Documents by the TEA Text Analyzer
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    Chapter 43 Chinese Documents Classification Based on N-Grams
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    Chapter 44 Cross-Lingual Document Similarity Calculation Using the Multilingual Thesaurus EUROVOC
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    Chapter 45 Empirical Formula for Testing Word Similarity and Its Application for Constructing a Word Frequency List
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    Chapter 46 AutoMarkup: A Tool for Automatically Marking up Text Documents
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    Chapter 47 Identification of Recurrent Patterns to Extract Definitory Contexts
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    Chapter 48 Specification Marks Method: Design and Implementation
Attention for Chapter 11: An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet
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Chapter title
An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet
Chapter number 11
Book title
Computational Linguistics and Intelligent Text Processing
Published by
Springer, Berlin, Heidelberg, February 2002
DOI 10.1007/3-540-45715-1_11
Book ISBNs
978-3-54-043219-7, 978-3-54-045715-2
Authors

Satanjeev Banerjee, Ted Pedersen, Banerjee, Satanjeev, Pedersen, Ted

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Canada 3 1%
United Kingdom 3 1%
Italy 2 <1%
Brazil 2 <1%
China 2 <1%
Ireland 1 <1%
Australia 1 <1%
Portugal 1 <1%
Other 7 3%
Unknown 219 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 22%
Student > Master 52 21%
Researcher 32 13%
Student > Bachelor 25 10%
Student > Doctoral Student 11 4%
Other 34 14%
Unknown 38 15%
Readers by discipline Count As %
Computer Science 161 65%
Engineering 11 4%
Linguistics 10 4%
Agricultural and Biological Sciences 5 2%
Psychology 4 2%
Other 13 5%
Unknown 42 17%