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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 A Distributed Database System for Developing Ontological and Lexical Resources in Harmony
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    Chapter 2 Verb Class Discovery from Rich Syntactic Data
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    Chapter 3 Growing TreeLex
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    Chapter 4 Acquisition of Elementary Synonym Relations from Biological Structured Terminology
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    Chapter 5 A Comparison of Co-occurrence and Similarity Measures as Simulations of Context
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    Chapter 6 Various Criteria of Collocation Cohesion in Internet: Comparison of Resolving Power
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    Chapter 7 Why Don’t Romanians Have a Five O’clock Tea, Nor Halloween, But Have a Kind of Valentines Day?
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    Chapter 8 SIGNUM: A Graph Algorithm for Terminology Extraction
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    Chapter 9 Arabic Morphology Parsing Revisited
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    Chapter 10 A Probabilistic Model for Guessing Base Forms of New Words by Analogy
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    Chapter 11 Unsupervised and Knowledge-Free Learning of Compound Splits and Periphrases
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    Chapter 12 German Decompounding in a Difficult Corpus
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    Chapter 13 Clause Boundary Identification Using Conditional Random Fields
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    Chapter 14 Natural Language as the Basis for Meaning Representation and Inference
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    Chapter 15 Layer Structures and Conceptual Hierarchies in Semantic Representations for NLP
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    Chapter 16 Deep Lexical Semantics
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    Chapter 17 On Ontology Based Abduction  for Text Interpretation
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    Chapter 18 Analysis of Joint Inference Strategies for the Semantic Role Labeling of Spanish and Catalan
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    Chapter 19 A Preliminary Study on the Robustness and Generalization of Role Sets for Semantic Role Labeling
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    Chapter 20 XTM: A Robust Temporal Text Processor
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    Chapter 21 What We Are Talking about and What We Are Saying about It
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    Chapter 22 Trusting Politicians’ Words (for Persuasive NLP)
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    Chapter 23 Sense Annotation in the Penn Discourse Treebank
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    Chapter 24 A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation
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    Chapter 25 Discovering Word Senses from Text Using Random Indexing
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    Chapter 26 Domain Information for Fine-Grained Person Name Categorization
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    Chapter 27 Language Independent First and Last Name Identification in Person Names
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    Chapter 28 Mixing Statistical and Symbolic Approaches for Chemical Names Recognition
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    Chapter 29 Portuguese Pronoun Resolution: Resources and Evaluation
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    Chapter 30 Semantic and Syntactic Features for Dutch Coreference Resolution
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    Chapter 31 Stat-XFER: A General Search-Based Syntax-Driven Framework for Machine Translation
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    Chapter 32 Statistical Machine Translation into a Morphologically Complex Language
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    Chapter 33 Translation Paraphrases in Phrase-Based Machine Translation
  35. Altmetric Badge
    Chapter 34 Computational Linguistics and Intelligent Text Processing
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    Chapter 35 Learning Finite State Transducers Using Bilingual Phrases
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    Chapter 36 Learning Spanish-Galician Translation Equivalents Using a Comparable Corpus and a Bilingual Dictionary
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    Chapter 37 Context-Based Sentence Alignment in Parallel Corpora
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    Chapter 38 Bilingual Segmentation for Alignment and Translation
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    Chapter 39 Dynamic Translation Memory: Using Statistical Machine Translation to Improve Translation Memory Fuzzy Matches
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    Chapter 40 Identification of Transliterated Foreign Words in Hebrew Script
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    Chapter 41 Innovative Approach for Engineering NLG Systems: The Content Determination Case Study
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    Chapter 42 Comparison of Different Modeling Units for Language Model Adaptation for Inflected Languages
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    Chapter 43 Word Distribution Analysis for Relevance Ranking and Query Expansion
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    Chapter 44 Hybrid Method for Personalized Search in Scientific Digital Libraries
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    Chapter 45 Alignment-Based Expansion of Textual Database Fields
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    Chapter 46 Detecting Expected Answer Relations through Textual Entailment
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    Chapter 47 Improving Question Answering by Combining Multiple Systems Via Answer Validation
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    Chapter 48 Evaluation of Internal Validity Measures in Short-Text Corpora
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    Chapter 49 Arabic/English Multi-document Summarization with CLASSY—The Past and the Future
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    Chapter 50 Lexical Cohesion Based Topic Modeling for Summarization
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    Chapter 51 Terms Derived from Frequent Sequences for Extractive Text Summarization
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    Chapter 52 Real-Word Spelling Correction with Trigrams: A Reconsideration of the Mays, Damerau, and Mercer Model
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    Chapter 53 Non-interactive OCR Post-correction for Giga-Scale Digitization Projects
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    Chapter 54 Linguistic Support for Revising and Editing
  56. Altmetric Badge
    Chapter 55 The Role of PP Attachment in Preposition Generation
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    Chapter 56 EFL Learner Reading Time Model for Evaluating Reading Proficiency
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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
476 Mendeley
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Title
Computational Linguistics and Intelligent Text Processing
Published by
Lecture notes in computer science, January 2008
DOI 10.1007/978-3-540-78135-6
ISBNs
978-3-54-078134-9, 978-3-54-078135-6
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 476 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 2%
United Kingdom 7 1%
Spain 6 1%
Brazil 6 1%
Germany 3 <1%
Turkey 2 <1%
Switzerland 2 <1%
China 2 <1%
Malaysia 2 <1%
Other 20 4%
Unknown 415 87%

Demographic breakdown

Readers by professional status Count As %
Student > Master 138 29%
Student > Ph. D. Student 115 24%
Researcher 53 11%
Student > Bachelor 40 8%
Unspecified 29 6%
Other 101 21%
Readers by discipline Count As %
Computer Science 279 59%
Unspecified 78 16%
Linguistics 28 6%
Social Sciences 20 4%
Engineering 16 3%
Other 55 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 31 January 2019.
All research outputs
#2,181,349
of 22,805,349 outputs
Outputs from Lecture notes in computer science
#430
of 8,126 outputs
Outputs of similar age
#8,543
of 156,271 outputs
Outputs of similar age from Lecture notes in computer science
#7
of 85 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% 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 94% 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 156,271 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 94% of its contemporaries.
We're also able to compare this research output to 85 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.