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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 Starting with Complex Primitives Pays Off
  3. Altmetric Badge
    Chapter 2 Things Are Not Always Equal
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    Chapter 3 GIGs: Restricted Context-Sensitive Descriptive Power in Bounded Polynomial-Time
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    Chapter 4 Total Lexicalism and GASGrammars: A Direct Way to Semantics
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    Chapter 5 Pseudo Context-Sensitive Models for Parsing Isolating Languages: Classical Chinese — A Case Study
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    Chapter 6 Imperatives as Obligatory and Permitted Actions
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    Chapter 7 Formal Representation and Semantics of Modern Chinese Interrogative Sentences
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    Chapter 8 Analyzing V+Adj in Situation Semantics
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    Chapter 9 Diagnostics for Determining Compatibility in English Support-Verb-Nominalization Pairs
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    Chapter 10 A Maximum Entropy Approach for Spoken Chinese Understanding
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    Chapter 11 A Study to Improve the Efficiency of a Discourse Parsing System
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    Chapter 12 Conversion of Japanese Passive/Causative Sentences into Active Sentences Using Machine Learning
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    Chapter 13 From Czech Morphology through Partial Parsing to Disambiguation
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    Chapter 14 Fast Base NP Chunking with Decision Trees - Experiments on Different POS Tag Settings
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    Chapter 15 Guaranteed Pre-tagging for the Brill Tagger
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    Chapter 16 Performance Analysis of a Part of Speech Tagging Task
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    Chapter 17 An Efficient Online Parser for Contextual Grammars with at Most Context—Free Selectors
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    Chapter 18 Offline Compilation of Chains for Head-Driven Generation with Constraint-Based Grammars
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    Chapter 19 Generation of Incremental Parsers
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    Chapter 20 Computing with Realizational Morphology
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    Chapter 21 Approach to Construction of Automatic Morphological Analysis Systems for Inflective Languages with Little Effort
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    Chapter 22 Per-node Optimization of Finite-State Mechanisms for Natural Language Processing
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    Chapter 23 An Evaluation of a Lexicographer’s Workbench Incorporating Word Sense Disambiguation
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    Chapter 24 Using Measures of Semantic Relatedness for Word Sense Disambiguation
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    Chapter 25 Automatic Sense Disambiguation of the Near-Synonyms in a Dictionary Entry
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    Chapter 26 Word Sense Disambiguation for Untagged Corpus: Application to Romanian Language
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    Chapter 27 Automatic Noun Sense Disambiguation
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    Chapter 28 Tool for Computer-Aided Spanish Word Sense Disambiguation
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    Chapter 29 Augmenting WordNet’s Structure Using LDOCE
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    Chapter 30 Building Consistent Dictionary Definitions
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    Chapter 31 Is Shallow Parsing Useful for Unsupervised Learning of Semantic Clusters?
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    Chapter 32 Experiments on Extracting Semantic Relations from Syntactic Relations
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    Chapter 33 A Method of Automatic Detection of Lexical Relationships Using a Raw Corpus
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    Chapter 34 Sentence Co-occurrences as Small-World Graphs: A Solution to Automatic Lexical Disambiguation
  36. Altmetric Badge
    Chapter 35 Dimensional Analysis to Clarify Relations among the Top-Level Concepts of an Upper Ontology: Process, Event, Substance, Object
  37. Altmetric Badge
    Chapter 36 Classifying Functional Relations in Factotum via WordNet Hypernym Associations
  38. Altmetric Badge
    Chapter 37 Processing Natural Language without Natural Language Processing
  39. Altmetric Badge
    Chapter 38 The Design, Implementation, and Use of the Ngram Statistics Package
  40. Altmetric Badge
    Chapter 39 An Estimate Method of the Minimum Entropy of Natural Languages
  41. Altmetric Badge
    Chapter 40 A Corpus Balancing Method for Language Model Construction
  42. Altmetric Badge
    Chapter 41 Building a Chinese Shallow Parsed TreeBank for Collocation Extraction
  43. Altmetric Badge
    Chapter 42 Corpus Construction within Linguistic Module of City Information Dialogue System
  44. Altmetric Badge
    Chapter 43 Diachronic Stemmed Corpus and Dictionary of Galician Language
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    Chapter 44 Can We Correctly Estimate the Total Number of Pages in Google for a Specific Language?
  46. Altmetric Badge
    Chapter 45 The Word Is Mightier than the Count: Accumulating Translation Resources from Parsed Parallel Corpora
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    Chapter 46 Identifying Complex Sound Correspondences in Bilingual Wordlists
  48. Altmetric Badge
    Chapter 47 Generating Texts with Style
  49. Altmetric Badge
    Chapter 48 Multilingual Syntax Editing in GF
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    Chapter 49 QGen— Generation Module for the Register Restricted InBASE System
  51. Altmetric Badge
    Chapter 50 Towards Designing Natural Language Interfaces
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    Chapter 51 A Discourse System for Conversational Characters
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    Chapter 52 A Portable Natural Language Interface for Diverse Databases Using Ontologies
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    Chapter 53 Time-Domain Structural Analysis of Speech
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    Chapter 54 Experiments with Linguistic Categories for Language Model Optimization
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    Chapter 55 Chinese Utterance Segmentation in Spoken Language Translation
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    Chapter 56 Using Natural Language Processing for Semantic Indexing of Scene-of-Crime Photographs
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    Chapter 57 Natural Language in Information Retrieval
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    Chapter 58 Natural Language System for Terminological Information Retrieval
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    Chapter 59 Query Expansion Based on Thesaurus Relations: Evaluation over Internet
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    Chapter 60 Suggesting Named Entities for Information Access
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    Chapter 61 Probabilistic Word Vector and Similarity Based on Dictionaries
  63. Altmetric Badge
    Chapter 62 Web Document Indexing and Retrieval
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    Chapter 63 Event Sentence Extraction in Korean Newspapers
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    Chapter 64 Searching for Significant Word Associations in Text Documents Using Genetic Algorithms
  66. Altmetric Badge
    Chapter 65 Cascaded Feature Selection in SVMs Text Categorization
  67. Altmetric Badge
    Chapter 66 A Study on Feature Weighting in Chinese Text Categorization
  68. Altmetric Badge
    Chapter 67 Experimental Study on Representing Units in Chinese Text Categorization
  69. Altmetric Badge
    Chapter 68 Partitional Clustering Experiments with News Documents
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    Chapter 69 Fast Clustering Algorithm for Information Organization
  71. Altmetric Badge
    Chapter 70 Automatic Text Summarization of Scientific Articles Based on Classification of Extract’s Population
  72. Altmetric Badge
    Chapter 71 Positive Grammar Checking:A Finite State Approach
Overall attention for this book and its chapters
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Mentioned by

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4 Wikipedia pages

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19 Mendeley
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Title
Computational Linguistics and Intelligent Text Processing
Published by
Lecture notes in computer science, April 2003
DOI 10.1007/3-540-36456-0
ISBNs
978-3-54-000532-2, 978-3-54-036456-6
Authors

Alexander Gelbukh

Editors

Gelbukh, Alexander

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 11%
Student > Bachelor 1 5%
Unknown 16 84%
Readers by discipline Count As %
Linguistics 2 11%
Computer Science 2 11%
Unknown 15 79%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 March 2017.
All research outputs
#7,459,393
of 22,805,349 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,126 outputs
Outputs of similar age
#16,734
of 50,238 outputs
Outputs of similar age from Lecture notes in computer science
#7
of 19 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 50,238 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.