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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 Integration of Linguistic Resources for Verb Classification: FrameNet Frame, WordNet Verb and Suggested Upper Merged Ontology
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    Chapter 2 French EuroWordNet Lexical Database Improvements
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    Chapter 3 Building a Large-Scale Commonsense Knowledge Base by Converting an Existing One in a Different Language
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    Chapter 4 Conquering Language: Using NLP on a Massive Scale to Build High Dimensional Language Models from the Web
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    Chapter 5 On Heads and Coordination in Valence Acquisition
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    Chapter 6 Chinese Terminology Extraction Using Window-Based Contextual Information
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    Chapter 7 Baby-Steps Towards Building a Spanglish Language Model
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    Chapter 8 Latent Variable Models for Causal Knowledge Acquisition
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    Chapter 9 Finite-State Technology as a Programming Environment
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    Chapter 10 Morphological Disambiguation of Turkish Text with Perceptron Algorithm
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    Chapter 11 Part-of-Speech Tagging Using Word Probability Based on Category Patterns
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    Chapter 12 Handling Conjunctions in Named Entities
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    Chapter 13 ANERsys: An Arabic Named Entity Recognition System Based on Maximum Entropy
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    Chapter 14 Applying Machine Learning to Chinese Entity Detection and Tracking
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    Chapter 15 Evaluation of an Automatic Extension of Temporal Expression Treatment to Catalan
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    Chapter 16 A Generalized Approach to Word Segmentation Using Maximum Length Descending Frequency and Entropy Rate
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    Chapter 17 Tagging Sentence Boundaries in Biomedical Literature
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    Chapter 18 Probabilistic Classifications with TBL
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    Chapter 19 The Non-associativity of Polarized Tree-Based Grammars
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    Chapter 20 Dependency Analysis of Clauses Using Parse Tree Kernels
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    Chapter 21 Unsupervised Method for Parsing Coordinated Base Noun Phrases
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    Chapter 22 Text Categorization for Improved Priors of Word Meaning
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    Chapter 23 Case-Sensitivity of Classifiers for WSD: Complex Systems Disambiguate Tough Words Better
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    Chapter 24 Word Clustering for Collocation-Based Word Sense Disambiguation
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    Chapter 25 Lexical Constellations and the Structure of Meaning: A Prototype Application to WSD
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    Chapter 26 Rule-Based Protein Term Identification with Help from Automatic Species Tagging
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    Chapter 27 Unsupervised Discrimination of Person Names in Web Contexts
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    Chapter 28 Learning for Semantic Parsing
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    Chapter 29 The Usefulness of Conceptual Representation for the Identification of Semantic Variability Expressions
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    Chapter 30 Characterizing Humour: An Exploration of Features in Humorous Texts
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    Chapter 31 Representing Emotions with Linguistic Acuity
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    Chapter 32 An Evaluation of UNL Usability for High Quality Multilingualization and Projections for a Future UNL++ Language
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    Chapter 33 Transfer-Based MT from Spanish into Basque: Reusability, Standardization and Open Source
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    Chapter 34 Dependency-Based Chinese-English Statistical Machine Translation
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    Chapter 35 Asymmetric Hybrid Machine Translation for Languages with Scarce Resources
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    Chapter 36 CL-Guided Korean-English MT System for Scientific Papers
  38. Altmetric Badge
    Chapter 37 Comparing and Integrating Alignment Template and Standard Phrase-Based Statistical Machine Translation
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    Chapter 38 Dependency Analysis and CBR to Bridge the Generation Gap in Template-Based NLG
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    Chapter 39 Experiments on Generating Questions About Facts
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    Chapter 40 Expert vs. Non-expert Tutoring: Dialogue Moves, Interaction Patterns and Multi-utterance Turns
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    Chapter 41 A Competitive Term Selection Method for Information Retrieval
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    Chapter 42 Incorporating Passage Feature Within Language Model Framework for Information Retrieval
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    Chapter 43 Enhancing Cross-Language Question Answering by Combining Multiple Question Translations
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    Chapter 44 The Negative Effect of Machine Translation on Cross–Lingual Question Answering
  46. Altmetric Badge
    Chapter 45 Using Clustering Approaches to Open-Domain Question Answering
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    Chapter 46 A Little Known Fact Is ... Answering Other Questions Using Interest-Markers
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    Chapter 47 Adapting the JIRS Passage Retrieval System to the Arabic Language
  49. Altmetric Badge
    Chapter 48 Using Question-Answer Pairs in Extractive Summarization of Email Conversations
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    Chapter 49 NEO-CORTEX: A Performant User-Oriented Multi-Document Summarization System
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    Chapter 50 Event-Based Summarization Using Time Features
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    Chapter 51 NLP-Based Curation of Bacterial Regulatory Networks
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    Chapter 52 Exploiting Category Information and Document Information to Improve Term Weighting for Text Categorization
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    Chapter 53 On the Impact of Lexical and Linguistic Features in Genre- and Domain-Based Categorization
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    Chapter 54 Clustering Narrow-Domain Short Texts by Using the Kullback-Leibler Distance
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    Chapter 55 A Mixed Trigrams Approach for Context Sensitive Spell Checking
  57. Altmetric Badge
    Chapter 56 Combining Methods for Detecting and Correcting Semantic Hidden Errors in Arabic Texts
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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Computational Linguistics and Intelligent Text Processing
Published by
Lecture notes in computer science, January 2007
DOI 10.1007/978-3-540-70939-8
ISBNs
978-3-54-070938-1, 978-3-54-070939-8
Authors

Alexander Gelbukh

Editors

Gelbukh, Alexander

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 6%
Japan 1 3%
United States 1 3%
Unknown 27 87%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 29%
Researcher 5 16%
Student > Ph. D. Student 5 16%
Student > Bachelor 4 13%
Student > Doctoral Student 3 10%
Other 5 16%
Readers by discipline Count As %
Computer Science 21 68%
Unspecified 4 13%
Mathematics 1 3%
Arts and Humanities 1 3%
Linguistics 1 3%
Other 3 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 12 February 2024.
All research outputs
#2,687,476
of 22,805,349 outputs
Outputs from Lecture notes in computer science
#570
of 8,126 outputs
Outputs of similar age
#10,188
of 156,887 outputs
Outputs of similar age from Lecture notes in computer science
#7
of 59 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 88th 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 particularly well, scoring higher than 92% 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 156,887 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.