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Natural Language Processing and Information Systems

Overview of attention for book
Cover of 'Natural Language Processing and Information Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Methodology for Biomedical Ontology Reuse
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    Chapter 2 Tamil Morphological Analyzer Using Support Vector Machines
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    Chapter 3 The Role of Community Acceptance in Assessing Ontology Quality
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    Chapter 4 How to Complete Customer Requirements
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    Chapter 5 An Information Gain-Driven Feature Study for Aspect-Based Sentiment Analysis
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    Chapter 6 ESSOT: An Expert Supporting System for Ontology Translation
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    Chapter 7 Adapting Semantic Spreading Activation to Entity Linking in Text
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    Chapter 8 Evaluating Multiple Summaries Without Human Models: A First Experiment with a Trivergent Model
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    Chapter 9 PatEx: Pattern Oriented RDF Graphs Exploration
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    Chapter 10 Multilingual Protest Event Data Collection with GATE
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    Chapter 11 A Multi-lingual Approach to Improve Passage Retrieval for Automatic Question Answering
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    Chapter 12 Information Extraction on Weather Forecasts with Semantic Technologies
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    Chapter 13 Keyword Identification Using Text Graphlet Patterns
  15. Altmetric Badge
    Chapter 14 Disentangling the Structure of Tables in Scientific Literature
  16. Altmetric Badge
    Chapter 15 Extracting and Representing Higher Order Predicate Relations between Concepts
  17. Altmetric Badge
    Chapter 16 Towards Evaluating the Impact of Anaphora Resolution on Text Summarisation from a Human Perspective
  18. Altmetric Badge
    Chapter 17 An LDA-Based Approach to Scientific Paper Recommendation
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    Chapter 18 Topic Shifts in StackOverflow: Ask it Like Socrates
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    Chapter 19 Semantic-Syntactic Word Valence Vectors for Building a Taxonomy
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    Chapter 20 Generating Tailored Classification Schemas for German Patents
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    Chapter 21 A Platform Based ANLP Tools for the Construction of an Arabic Historical Dictionary
  23. Altmetric Badge
    Chapter 22 Extracting Knowledge Using Wikipedia Semi-structured Resources
  24. Altmetric Badge
    Chapter 23 Mixing Crowdsourcing and Graph Propagation to Build a Sentiment Lexicon: Feelings Are Contagious
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    Chapter 24 Comparing Two Strategies for Query Expansion in a News Monitoring System
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    Chapter 25 An Active Ingredients Entity Recogniser System Based on Profiles
  27. Altmetric Badge
    Chapter 26 Improving the Sentiment Analysis Process of Spanish Tweets with BM25
  28. Altmetric Badge
    Chapter 27 Validating Learning Outcomes of an E-Learning System Using NLP
  29. Altmetric Badge
    Chapter 28 Aspects from Appraisals!! A Label Propagation with Prior Induction Approach
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    Chapter 29 Mining Hidden Knowledge from the Counterterrorism Dataset Using Graph-Based Approach
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    Chapter 30 An Empirical Assessment of Citation Information in Scientific Summarization
  32. Altmetric Badge
    Chapter 31 PIRAT: A Personalized Information Retrieval System in Arabic Texts Based on a Hybrid Representation of a User Profile
  33. Altmetric Badge
    Chapter 32 YATS: Yet Another Text Simplifier
  34. Altmetric Badge
    Chapter 33 Are Deep Learning Approaches Suitable for Natural Language Processing?
  35. Altmetric Badge
    Chapter 34 An Approach to Analyse a Hashtag-Based Topic Thread in Twitter
  36. Altmetric Badge
    Chapter 35 Identification of Occupation Mentions in Clinical Narratives
  37. Altmetric Badge
    Chapter 36 Multi-objective Word Sense Induction Using Content and Interlink Connections
  38. Altmetric Badge
    Chapter 37 Re-expressing Business Processes Information from Corporate Documents into Controlled Language
  39. Altmetric Badge
    Chapter 38 Using Semantic Frames for Automatic Annotation of Regulatory Texts
  40. Altmetric Badge
    Chapter 39 Automatic Evaluation of a Summary’s Linguistic Quality
  41. Altmetric Badge
    Chapter 40 Extracting Formal Models from Normative Texts
  42. Altmetric Badge
    Chapter 41 Sentiment Analysis in Arabic
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    Chapter 42 Automatic Creation of Ontology Using a Lexical Database: An Application for the Energy Sector
  44. Altmetric Badge
    Chapter 43 Computer-Generated Text Detection Using Machine Learning: A Systematic Review
  45. Altmetric Badge
    Chapter 44 Sentiment Analysis for German Facebook Pages
  46. Altmetric Badge
    Chapter 45 An Information Retrieval Based Approach for Multilingual Ontology Matching
  47. Altmetric Badge
    Chapter 46 Automatic Text Summarization with a Reduced Vocabulary Using Continuous Space Vectors
  48. Altmetric Badge
    Chapter 47 A Platform for the Conceptualization of Arabic Texts Dedicated to the Design of the UML Class Diagram
  49. Altmetric Badge
    Chapter 48 Reversing the Polarity with Emoticons
  50. Altmetric Badge
    Chapter 49 Spatial-Temporal Representation and Reasoning About Objects and Regions
  51. Altmetric Badge
    Chapter 50 Bias Based Navigation for News Articles and Media
  52. Altmetric Badge
    Chapter 51 Learning to Rank Entity Relatedness Through Embedding-Based Features
  53. Altmetric Badge
    Chapter 52 Arabic Quranic Search Tool Based on Ontology
Attention for Chapter 14: Disentangling the Structure of Tables in Scientific Literature
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
6 Dimensions

Readers on

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29 Mendeley
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Chapter title
Disentangling the Structure of Tables in Scientific Literature
Chapter number 14
Book title
Natural Language Processing and Information Systems
Published in
Lecture notes in computer science, June 2016
DOI 10.1007/978-3-319-41754-7_14
Book ISBNs
978-3-31-941753-0, 978-3-31-941754-7
Authors

Nikola Milosevic, Cassie Gregson, Robert Hernandez, Goran Nenadic, Milosevic, Nikola, Gregson, Cassie, Hernandez, Robert, Nenadic, Goran

Editors

Elisabeth Métais, Farid Meziane, Mohamad Saraee, Vijayan Sugumaran, Sunil Vadera

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

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Student > Master 3 10%
Student > Bachelor 3 10%
Lecturer 2 7%
Student > Doctoral Student 2 7%
Other 5 17%
Unknown 9 31%
Readers by discipline Count As %
Computer Science 10 34%
Engineering 4 14%
Biochemistry, Genetics and Molecular Biology 1 3%
Linguistics 1 3%
Agricultural and Biological Sciences 1 3%
Other 3 10%
Unknown 9 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 02 January 2023.
All research outputs
#2,641,853
of 24,641,620 outputs
Outputs from Lecture notes in computer science
#514
of 8,154 outputs
Outputs of similar age
#47,179
of 359,704 outputs
Outputs of similar age from Lecture notes in computer science
#15
of 355 outputs
Altmetric has tracked 24,641,620 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 93% 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 359,704 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 86% of its contemporaries.
We're also able to compare this research output to 355 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 96% of its contemporaries.