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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 Integrating Semantic Frames from Multiple Sources
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    Chapter 2 Making Senses: Bootstrapping Sense-Tagged Lists of Semantically-Related Words
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    Chapter 3 Enriching Wordnets with New Relations and with Event and Argument Structures
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    Chapter 4 Experiments in Cross-Language Morphological Annotation Transfer
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    Chapter 5 Sentence Segmentation Model to Improve Tree Annotation Tool
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    Chapter 6 Markov Cluster Shortest Path Founded Upon the Alibi-Breaking Algorithm
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    Chapter 7 Unsupervised Learning of Verb Argument Structures
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    Chapter 8 A Methodology for Extracting Ontological Knowledge from Spanish Documents
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    Chapter 9 Automatically Determining Allowable Combinations of a Class of Flexible Multiword Expressions
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    Chapter 10 Web-Based Measurements of Intra-collocational Cohesion in Oxford Collocations Dictionary
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    Chapter 11 Probabilistic Neural Network Based English-Arabic Sentence Alignment
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    Chapter 12 Towards the Automatic Lemmatization of 16th Century Mexican Spanish: A Stemming Scheme for the CHEM
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    Chapter 13 Word Frequency Approximation for Chinese Without Using Manually-Annotated Corpus
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    Chapter 14 Abbreviation Recognition with MaxEnt Model
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    Chapter 15 An Efficient Multi-agent System Combining POS-Taggers for Arabic Texts
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    Chapter 16 A Comparative Evaluation of a New Unsupervised Sentence Boundary Detection Approach on Documents in English and Portuguese
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    Chapter 17 A General and Multi-lingual Phrase Chunking Model Based on Masking Method
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    Chapter 18 UCSG Shallow Parser
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    Chapter 19 Evaluating the Performance of the Survey Parser with the NIST Scheme
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    Chapter 20 Sequences of Part of Speech Tags vs. Sequences of Phrase Labels: How Do They Help in Parsing?
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    Chapter 21 Verb Sense Disambiguation Using Support Vector Machines: Impact of WordNet-Extracted Features
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    Chapter 22 Preposition Senses: Generalized Disambiguation Model
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    Chapter 23 An Unsupervised Language Independent Method of Name Discrimination Using Second Order Co-occurrence Features
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    Chapter 24 Extracting Key Phrases to Disambiguate Personal Names on the Web
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    Chapter 25 Chinese Noun Phrase Metaphor Recognition with Maximum Entropy Approach
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    Chapter 26 Zero Anaphora Resolution in Chinese Discourse
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    Chapter 27 Random Walks on Text Structures
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    Chapter 28 Shallow Case Role Annotation Using Two-Stage Feature-Enhanced String Matching
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    Chapter 29 SPARTE, a Test Suite for Recognising Textual Entailment in Spanish
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    Chapter 30 Analysis of a Textual Entailer
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    Chapter 31 Referring Via Document Parts
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    Chapter 32 Generation of Natural Language Explanations of Rules in an Expert System
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    Chapter 33 Generating a Set of Rules to Determine Honorific Expression Using Decision Tree Learning
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    Chapter 34 NLP (Natural Language Processing) for NLP (Natural Language Programming)
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    Chapter 35 Balancing Transactions in Practical Dialogues
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    Chapter 36 Finite State Grammar Transduction from Distributed Collected Knowledge
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    Chapter 37 Predicting Dialogue Acts from Prosodic Information
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    Chapter 38 Disambiguation Based on Wordnet for Transliteration of Arabic Numerals for Korean TTS
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    Chapter 39 MFCRank: A Web Ranking Algorithm Based on Correlation of Multiple Features
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    Chapter 40 On Text Ranking for Information Retrieval Based on Degree of Preference
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    Chapter 41 Lexical Normalization and Relationship Alternatives for a Term Dependence Model in Information Retrieval
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    Chapter 42 Web Search Model for Dynamic and Fuzzy Directory Search
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    Chapter 43 Information Retrieval from Spoken Documents
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    Chapter 44 Automatic Image Annotation Based on WordNet and Hierarchical Ensembles
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    Chapter 45 Creating a Testbed for the Evaluation of Automatically Generated Back-of-the-Book Indexes
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    Chapter 46 Automatic Acquisition of Semantic-Based Question Reformulations for Question Answering
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    Chapter 47 Using N-Gram Models to Combine Query Translations in Cross-Language Question Answering
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    Chapter 48 A Question Answering System on Special Domain and the Implementation of Speech Interface
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    Chapter 49 Multi-document Summarization Based on BE-Vector Clustering
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    Chapter 50 Deriving Event Relevance from the Ontology Constructed with Formal Concept Analysis
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    Chapter 51 A Sentence Compression Module for Machine-Assisted Subtitling
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    Chapter 52 Application of Semi-supervised Learning to Evaluative Expression Classification
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    Chapter 53 A New Algorithm for Fast Discovery of Maximal Sequential Patterns in a Document Collection
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    Chapter 54 A Machine Learning Based Approach for Separating Head from Body in Web-Tables
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    Chapter 55 Clustering Abstracts of Scientific Texts Using the Transition Point Technique
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    Chapter 56 Sense Cluster Based Categorization and Clustering of Abstracts
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    Chapter 57 Analysing Part-of-Speech for Portuguese Text Classification
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    Chapter 58 Improving kNN Text Categorization by Removing Outliers from Training Set
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    Chapter 59 Writing for Language-Impaired Readers
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    Chapter 60 Document Copy Detection System Based on Plagiarism Patterns
  62. Altmetric Badge
    Chapter 61 Regional vs. Global Robust Spelling Correction
Overall attention for this book and its chapters
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Computational Linguistics and Intelligent Text Processing
Published by
Lecture notes in computer science, January 2006
DOI 10.1007/11671299
ISBNs
978-3-54-032205-4, 978-3-54-032206-1
Authors

Alexander Gelbukh

Editors

Alexander Gelbukh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 11%
Unknown 8 89%
Readers by discipline Count As %
Computer Science 1 11%
Unknown 8 89%
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 21 July 2012.
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
#40,101
of 154,443 outputs
Outputs of similar age from Lecture notes in computer science
#47
of 146 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 154,443 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.