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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 Has Computational Linguistics Become More Applied?
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    Chapter 2 Opportunities for Natural Language Processing Research in Education
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    Chapter 3 Information Structure in a Formal Framework
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    Chapter 4 A Karaka Based Annotation Scheme for English
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    Chapter 5 Substring Statistics
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    Chapter 6 Evaluation of the Syntactic Annotation in EPEC, the Reference Corpus for the Processing of Basque
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    Chapter 7 Reducing Noise in Labels and Features for a Real World Dataset: Application of NLP Corpus Annotation Methods
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    Chapter 8 Unsupervised Classification of Verb Noun Multi-Word Expression Tokens
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    Chapter 9 Semantic Mapping for Related Term Identification
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    Chapter 10 An Improved Automatic Term Recognition Method for Spanish
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    Chapter 11 Bootstrapping a Verb Lexicon for Biomedical Information Extraction
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    Chapter 12 TermeX : A Tool for Collocation Extraction
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    Chapter 13 Guessers for Finite-State Transducer Lexicons
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    Chapter 14 Combining Language Modeling and Discriminative Classification for Word Segmentation
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    Chapter 15 Formal Grammar for Hispanic Named Entities Analysis
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    Chapter 16 Automatic Extraction of Clause Relationships from a Treebank
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    Chapter 17 A General Method for Transforming Standard Parsers into Error-Repair Parsers
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    Chapter 18 Topic-Focus Articulation from the Semantic Point of View
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    Chapter 19 The Value of Weights in Automatically Generated Text Structures
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    Chapter 20 AORTE for Recognizing Textual Entailment
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    Chapter 21 Semi-supervised Word Sense Disambiguation Using the Web as Corpus
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    Chapter 22 Semi-supervised Clustering for Word Instances and Its Effect on Word Sense Disambiguation
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    Chapter 23 Alleviating the Problem of Wrong Coreferences in Web Person Search
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    Chapter 24 Improved Unsupervised Name Discrimination with Very Wide Bigrams and Automatic Cluster Stopping
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    Chapter 25 Enriching Statistical Translation Models Using a Domain-Independent Multilingual Lexical Knowledge Base
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    Chapter 26 Exploiting Parallel Treebanks to Improve Phrase-Based Statistical Machine Translation
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    Chapter 27 Cross-Language Frame Semantics Transfer in Bilingual Corpora
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    Chapter 28 A Parallel Corpus Labeled Using Open and Restricted Domain Ontologies
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    Chapter 29 Language Identification on the Web: Extending the Dictionary Method
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    Chapter 30 Business Specific Online Information Extraction from German Websites
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    Chapter 31 Low-Cost Supervision for Multiple-Source Attribute Extraction
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    Chapter 32 An Integrated Architecture for Processing Business Documents in Turkish
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    Chapter 33 Detecting Protein-Protein Interactions in Biomedical Texts Using a Parser and Linguistic Resources
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    Chapter 34 Learning to Learn Biological Relations from a Small Training Set
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    Chapter 35 Using a Bigram Event Model to Predict Causal Potential
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    Chapter 36 Semantic-Based Temporal Text-Rule Mining
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    Chapter 37 Generating Executable Scenarios from Natural Language
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    Chapter 38 Determining the Polarity and Source of Opinions Expressed in Political Debates
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    Chapter 39 Query Translation and Expansion for Searching Normal and OCR-Degraded Arabic Text
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    Chapter 40 NLP for Shallow Question Answering of Legal Documents Using Graphs
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    Chapter 41 Semantic Clustering for a Functional Text Classification Task
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    Chapter 42 Reducing the Plagiarism Detection Search Space on the Basis of the Kullback-Leibler Distance
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    Chapter 43 Empirical Paraphrasing of Modern Greek Text in Two Phases: An Application to Steganography
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    Chapter 44 BorderFlow: A Local Graph Clustering Algorithm for Natural Language Processing
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    Chapter 45 Generalized Mongue-Elkan Method for Approximate Text String Comparison
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    Chapter 46 Estimating Risk of Picking a Sentence for Document Summarization
  48. Altmetric Badge
    Chapter 47 The Decomposition of Human-Written Book Summaries
  49. Altmetric Badge
    Chapter 48 Linguistic Ethnography: Identifying Dominant Word Classes in Text
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
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
2 X users
facebook
1 Facebook page
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Computational Linguistics and Intelligent Text Processing
Published by
Lecture notes in computer science, January 2009
DOI 10.1007/978-3-642-00382-0
ISBNs
978-3-64-200381-3, 978-3-64-200382-0
Authors

Alexander Gelbukh

Editors

Gelbukh, Alexander

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 5%
Professor > Associate Professor 1 3%
Student > Doctoral Student 1 3%
Student > Master 1 3%
Unknown 33 87%
Readers by discipline Count As %
Computer Science 2 5%
Linguistics 1 3%
Business, Management and Accounting 1 3%
Engineering 1 3%
Unknown 33 87%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 09 February 2021.
All research outputs
#5,649,327
of 22,805,349 outputs
Outputs from Lecture notes in computer science
#1,836
of 8,126 outputs
Outputs of similar age
#37,145
of 169,222 outputs
Outputs of similar age from Lecture notes in computer science
#38
of 177 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 75th 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 77% 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 169,222 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 77% of its contemporaries.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.