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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 Exploring Extensive Linguistic Feature Sets in Near-Synonym Lexical Choice
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    Chapter 2 Abduction in Games for a Flexible Approach to Discourse Planning
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    Chapter 3 Document-Specific Statistical Machine Translation for Improving Human Translation Productivity
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    Chapter 4 Minimum Bayes Risk Decoding with Enlarged Hypothesis Space in System Combination
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    Chapter 5 Phrasal Syntactic Category Sequence Model for Phrase-Based MT
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    Chapter 6 Integration of a Noun Compound Translator Tool with Moses for English-Hindi Machine Translation and Evaluation
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    Chapter 7 Neoclassical Compound Alignments from Comparable Corpora
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    Chapter 8 QAlign: A New Method for Bilingual Lexicon Extraction from Comparable Corpora
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    Chapter 9 Aligning the Un-Alignable — A Pilot Study Using a Noisy Corpus of Nonstandardized, Semi-parallel Texts
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    Chapter 10 Parallel Corpora for WordNet Construction: Machine Translation vs. Automatic Sense Tagging
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    Chapter 11 Method to Build a Bilingual Lexicon for Speech-to-Speech Translation Systems
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    Chapter 12 A Fast Subspace Text Categorization Method Using Parallel Classifiers
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    Chapter 13 Research on Text Categorization Based on a Weakly-Supervised Transfer Learning Method
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    Chapter 14 Fuzzy Combinations of Criteria: An Application to Web Page Representation for Clustering
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    Chapter 15 Clustering Short Text and Its Evaluation
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    Chapter 16 Information Extraction from Webpages Based on DOM Distances
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    Chapter 17 Combining Flat and Structured Approaches for Temporal Slot Filling or: How Much to Compress?
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    Chapter 18 Event Annotation Schemes and Event Recognition in Spanish Texts
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    Chapter 19 Automatically Generated Noun Lexicons for Event Extraction
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    Chapter 20 Lexical Acquisition for Clinical Text Mining Using Distributional Similarity
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    Chapter 21 Developing an Algorithm for Mining Semantics in Texts
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    Chapter 22 Mining Market Trend from Blog Titles Based on Lexical Semantic Similarity
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    Chapter 23 Ensemble Approach for Cross Language Information Retrieval
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    Chapter 24 Web Image Annotation Using an Effective Term Weighting
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    Chapter 25 Metaphone-pt_BR: The Phonetic Importance on Search and Correction of Textual Information
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    Chapter 26 Robust and Fast Two-Pass Search Method for Lyric Search Covering Erroneous Queries Due to Mishearing
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    Chapter 27 Bootstrap-Based Equivalent Pattern Learning for Collaborative Question Answering
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    Chapter 28 How to Answer Yes/No Spatial Questions Using Qualitative Reasoning?
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    Chapter 29 Question Answering and Multi-search Engines in Geo-Temporal Information Retrieval
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    Chapter 30 Using Graph Based Mapping of Co-occurring Words and Closeness Centrality Score for Summarization Evaluation
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    Chapter 31 Combining Syntax and Semantics for Automatic Extractive Single-Document Summarization
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    Chapter 32 Combining Summaries Using Unsupervised Rank Aggregation
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    Chapter 33 Using Wikipedia Anchor Text and Weighted Clustering Coefficient to Enhance the Traditional Multi-document Summarization
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    Chapter 34 Extraction of Relevant Figures and Tables for Multi-document Summarization
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    Chapter 35 Towards Automatic Generation of Catchphrases for Legal Case Reports
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    Chapter 36 A Dataset for the Evaluation of Lexical Simplification
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    Chapter 37 Text Content Reliability Estimation in Web Documents: A New Proposal
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    Chapter 38 Computational Linguistics and Intelligent Text Processing
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    Chapter 39 Combining Confidence Score and Mal-rule Filters for Automatic Creation of Bangla Error Corpus: Grammar Checker Perspective
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    Chapter 40 Predictive Text Entry for Agglutinative Languages Using Unsupervised Morphological Segmentation
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    Chapter 41 Comment Spam Classification in Blogs through Comment Analysis and Comment-Blog Post Relationships
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    Chapter 42 Detecting Players Personality Behavior with Any Effort of Concealment
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    Chapter 43 Erratum: Neoclassical Compound Alignments from Comparable Corpora
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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

patent
2 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
2 Mendeley
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Title
Computational Linguistics and Intelligent Text Processing
Published by
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-28601-8
ISBNs
978-3-64-228600-1, 978-3-64-228601-8
Authors

Alexander Gelbukh

Editors

Gelbukh, Alexander

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 50%
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 29 May 2018.
All research outputs
#4,699,958
of 22,805,349 outputs
Outputs from Lecture notes in computer science
#1,575
of 8,126 outputs
Outputs of similar age
#40,959
of 244,446 outputs
Outputs of similar age from Lecture notes in computer science
#89
of 490 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 76th 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 79% 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 244,446 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 80% of its contemporaries.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.