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Computational Linguistics and Intelligent Text Processing

Overview of attention for book
Cover of 'Computational Linguistics and Intelligent Text Processing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 What Is a Natural Language and How to Describe It? Meaning-Text Approaches in Contrast with Generative Approaches
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    Chapter 2 A Fully Lexicalized Grammar for French Based on Meaning-Text Theory
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    Chapter 3 Modeling the Level of Involvement of Verbal Arguments
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    Chapter 4 Magical Number Seven Plus or Minus Two: Syntactic Structure Recognition in Japanese and English Sentences
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    Chapter 5 Spatio-temporal Indexing in Database Semantics
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    Chapter 6 Russellian and Strawsonian Definite Descriptions in Situation Semantics
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    Chapter 7 Treatment of Personal Pronouns Based on Their Parameterization
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    Chapter 8 Modeling Textual Context in Linguistic Pattern Matching
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    Chapter 9 Statistical Methods in Studying the Semantics of Size Adjectives
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    Chapter 10 Numerical Model of the Strategy for Choosing Polite Expressions
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    Chapter 11 Outstanding Issues in Anaphora Resolution
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    Chapter 12 PHORA: A NLP System for Spanish
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    Chapter 13 Belief Revision on Anaphora Resolution
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    Chapter 14 A Machine-Learning Approach to Estimating the Referential Properties of Japanese Noun Phrases
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    Chapter 15 The Referring Expressions in the Other’s Comment
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    Chapter 16 Lexical Semantic Ambiguity Resolution with Bigram-Based Decision Trees
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    Chapter 17 Interpretation of Compound Nominals Using WordNet
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    Chapter 18 Specification Marks for Word Sense Disambiguation: New Development
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    Chapter 19 Three Mechanisms of Parser Driving for Structure Disambiguation
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    Chapter 20 Recent Research in the Field of Example-Based Machine Translation
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    Chapter 21 Intelligent Case Based Machine Translation System
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    Chapter 22 A Hierarchical Phrase Alignment from English and Japanese Bilingual Text
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    Chapter 23 Title Generation Using a Training Corpus
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    Chapter 24 A New Approach in Building a Corpus for Natural Language Generation Systems
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    Chapter 25 A Study on Text Generation from Non-verbal Information on 2D Charts
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    Chapter 26 Interactive Multilingual Generation
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    Chapter 27 A Computational Feature Analysis for Multilingual Character-to-Character Dialogue
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    Chapter 28 Experiments on Extracting Knowledge from a Machine-Readable Dictionary of Synonym Differences
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    Chapter 29 Recognition of Author’s Scientific and Technical Terms
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    Chapter 30 Lexical-Semantic Tagging of an Italian Corpus
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    Chapter 31 Meaning Sort — Three Examples: Dictionary Construction, Tagged Corpus Construction, and Information Presentation System —
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    Chapter 32 Converting Morphological Information Using Lexicalized and General Conversion
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    Chapter 33 Zipf and Heaps Laws’ Coefficients Depend on Language
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    Chapter 34 Applying Productive Derivational Morphology to Term Indexing of Spanish Texts
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    Chapter 35 Unification-Based Lexicon and Morphology with Speculative Feature Signalling
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    Chapter 36 A Method of Pre-computing Connectivity Relations for Japanese/Korean POS Tagging
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    Chapter 37 A Hybrid Approach of Text Segmentation Based on Sensitive Word Concept for NLP
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    Chapter 38 Web-Based Arabic Morphological Analyzer
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    Chapter 39 Stochastic Parsing and Parallelism
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    Chapter 40 Practical Nondeterministic DR( k ) Parsing on Graph-Structured Stack
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    Chapter 41 Text Categorization Using Adaptive Context Trees
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    Chapter 42 Text Categorization through Multistrategy Learning and Visualization
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    Chapter 43 Automatic Topic Identification Using Ontology Hierarchy
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    Chapter 44 Software for Creating Domain-Oriented Dictionaries and Document Clustering in Full-Text Databases
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    Chapter 45 Chi-Square Classifier for Document Categorization
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    Chapter 46 Information Retrieval of Electronic Medical Records
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    Chapter 47 Automatic Keyword Extraction Using Domain Knowledge
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    Chapter 48 Approximate VLDC Pattern Matching in Shared-Forest
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    Chapter 49 Knowledge Engineering for Intelligent Information Retrieval
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    Chapter 50 Is Peritext a Key for Audiovisual Documents? The Use of Texts Describing Television Programs to Assist Indexing
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    Chapter 51 An Information Space Using Topic Identification for Retrieved Documents
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    Chapter 52 Contextual Rules for Text Analysis
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    Chapter 53 Finding Correlative Associations among News Topics
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
5 X users
patent
2 patents
wikipedia
1 Wikipedia page

Citations

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7 Dimensions

Readers on

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14 Mendeley
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Title
Computational Linguistics and Intelligent Text Processing
Published by
Lecture notes in computer science, March 2001
DOI 10.1007/3-540-44686-9
ISBNs
978-3-54-041687-6, 978-3-54-044686-6
Authors

Alexander Gelbukh

Editors

Gelbukh, Alexander

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Other Professional 1 7%
Ph.D. Student 1 7%
Unknown 12 86%
Readers by discipline Count As %
Computer and Information Science 2 14%
Unknown 12 86%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 May 2018.
All research outputs
#3,626,090
of 22,805,349 outputs
Outputs from Lecture notes in computer science
#837
of 8,126 outputs
Outputs of similar age
#5,158
of 40,138 outputs
Outputs of similar age from Lecture notes in computer science
#1
of 12 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 40,138 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.