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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 Unsupervised Feature Adaptation for Cross-Domain NLP with an Application to Compositionality Grading
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    Chapter 2 Syntactic Dependency-Based N-grams: More Evidence of Usefulness in Classification
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    Chapter 3 A Quick Tour of BabelNet 1.1
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    Chapter 4 Automatic Pipeline Construction for Real-Time Annotation
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    Chapter 5 A Multilingual GRUG Treebank for Underresourced Languages
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    Chapter 6 Creating an Annotated Corpus for Extracting Canonical Citations from Classics-Related Texts by Using Active Annotation
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    Chapter 7 Approaches of Anonymisation of an SMS Corpus
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    Chapter 8 A Corpus Based Approach for the Automatic Creation of Arabic Broken Plural Dictionaries
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    Chapter 9 Temporal Classifiers for Predicting the Expansion of Medical Subject Headings
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    Chapter 10 Knowledge Discovery on Incompatibility of Medical Concepts
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    Chapter 11 Extraction of Part-Whole Relations from Turkish Corpora
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    Chapter 12 Chinese Terminology Extraction Using EM-Based Transfer Learning Method
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    Chapter 13 Orthographic Transcription for Spoken Tunisian Arabic
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    Chapter 14 An Improved Stemming Approach Using HMM for a Highly Inflectional Language
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    Chapter 15 Semi-automatic Acquisition of Two-Level Morphological Rules for Iban Language
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    Chapter 16 Finite State Morphology for Amazigh Language
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    Chapter 17 New Perspectives in Sinographic Language Processing through the Use of Character Structure
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    Chapter 18 The Application of Kalman Filter Based Human-Computer Learning Model to Chinese Word Segmentation
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    Chapter 19 Machine Learning for High-Quality Tokenization Replicating Variable Tokenization Schemes
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    Chapter 20 Structural Prediction in Incremental Dependency Parsing
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    Chapter 21 Semi-supervised Constituent Grammar Induction Based on Text Chunking Information
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    Chapter 22 Turkish Constituent Chunking with Morphological and Contextual Features
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    Chapter 23 Enhancing Czech Parsing with Verb Valency Frames
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    Chapter 24 An Automatic Approach to Treebank Error Detection Using a Dependency Parser
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    Chapter 25 Topic-Oriented Words as Features for Named Entity Recognition
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    Chapter 26 Named Entities in Judicial Transcriptions: Extended Conditional Random Fields
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    Chapter 27 Introducing Baselines for Russian Named Entity Recognition
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    Chapter 28 Five Languages Are Better Than One: An Attempt to Bypass the Data Acquisition Bottleneck for WSD
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    Chapter 29 Analyzing the Sense Distribution of Concordances Obtained by Web as Corpus Approach
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    Chapter 30 MaxMax: A Graph-Based Soft Clustering Algorithm Applied to Word Sense Induction
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    Chapter 31 A Model of Word Similarity Based on Structural Alignment of Subject-Verb-Object Triples
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    Chapter 32 Coreference Annotation Schema for an Inflectional Language
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    Chapter 33 Exploring Coreference Uncertainty of Generically Extracted Event Mentions
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    Chapter 34 LIAR c : Labeling Implicit ARguments in Spanish Deverbal Nominalizations
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    Chapter 35 Automatic Detection of Idiomatic Clauses
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    Chapter 36 Evaluating the Results of Methods for Computing Semantic Relatedness
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    Chapter 37 Similarity Measures Based on Latent Dirichlet Allocation
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    Chapter 38 Evaluating the Premises and Results of Four Metaphor Identification Systems
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    Chapter 39 Determining the Conceptual Space of Metaphoric Expressions
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    Chapter 40 What is being Measured in an Information Graphic?
  42. Altmetric Badge
    Chapter 41 Comparing Discourse Tree Structures
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    Chapter 42 Assessment of Different Workflow Strategies for Annotating Discourse Relations: A Case Study with HDRB
  44. Altmetric Badge
    Chapter 43 Building a Discourse Parser for Informal Mathematical Discourse in the Context of a Controlled Natural Language
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    Chapter 44 Discriminative Learning of First-Order Weighted Abduction from Partial Discourse Explanations
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    Chapter 45 Facilitating the Analysis of Discourse Phenomena in an Interoperable NLP Platform
Attention for Chapter 45: Facilitating the Analysis of Discourse Phenomena in an Interoperable NLP Platform
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Chapter title
Facilitating the Analysis of Discourse Phenomena in an Interoperable NLP Platform
Chapter number 45
Book title
Computational Linguistics and Intelligent Text Processing
Published in
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-37247-6_45
Book ISBNs
978-3-64-237246-9, 978-3-64-237247-6
Authors

Riza Theresa Batista-Navarro, Georgios Kontonatsios, Claudiu Mihăilă, Paul Thompson, Rafal Rak, Raheel Nawaz, Ioannis Korkontzelos, Sophia Ananiadou, Alexander Gelbukh, Claudiu Mihăilă, Batista-Navarro, Riza Theresa, Kontonatsios, Georgios, Mihăilă, Claudiu, Thompson, Paul, Rak, Rafal, Nawaz, Raheel, Korkontzelos, Ioannis, Ananiadou, Sophia

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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
France 1 4%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 22%
Researcher 6 22%
Student > Doctoral Student 4 15%
Student > Bachelor 2 7%
Student > Ph. D. Student 2 7%
Other 4 15%
Unknown 3 11%
Readers by discipline Count As %
Computer Science 17 63%
Philosophy 1 4%
Psychology 1 4%
Earth and Planetary Sciences 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 5 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 November 2014.
All research outputs
#13,380,136
of 22,701,287 outputs
Outputs from Lecture notes in computer science
#3,987
of 8,124 outputs
Outputs of similar age
#158,222
of 280,698 outputs
Outputs of similar age from Lecture notes in computer science
#147
of 314 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 280,698 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 314 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.