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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 Using Wiktionary to Build an Italian Part-of-Speech Tagger
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    Chapter 2 Enhancing Multilingual Biomedical Terminologies via Machine Translation from Parallel Corpora
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    Chapter 3 A Distributional Semantics Approach for Selective Reasoning on Commonsense Graph Knowledge Bases
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    Chapter 4 Ontology Translation: A Case Study on Translating the Gene Ontology from English to German
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    Chapter 5 Crowdsourcing Word-Color Associations
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    Chapter 6 On the Semantic Representation and Extraction of Complex Category Descriptors
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    Chapter 7 Semantic and Syntactic Model of Natural Language Based on Tensor Factorization
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    Chapter 8 How to Populate Ontologies
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    Chapter 9 Fine-Grained POS Tagging of Spoken Tunisian Dialect Corpora
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    Chapter 10 Applying Dependency Relations to Definition Extraction
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    Chapter 11 Entity Linking for Open Information Extraction
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    Chapter 12 A New Method of Extracting Structured Meanings from Natural Language Texts and Its Application
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    Chapter 13 A Survey of Multilingual Event Extraction from Text
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    Chapter 14 Nordic Music Genre Classification Using Song Lyrics
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    Chapter 15 Infographics Retrieval: A New Methodology
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    Chapter 16 A Joint Topic Viewpoint Model for Contention Analysis
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    Chapter 17 Identification of Multi-Focal Questions in Question and Answer Reports
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    Chapter 18 Improving Arabic Texts Morphological Disambiguation Using a Possibilistic Classifier
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    Chapter 19 Forecasting Euro/Dollar Rate with Forex News
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    Chapter 20 Towards the Improvement of Topic Priority Assignment Using Various Topic Detection Methods for E-reputation Monitoring on Twitter
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    Chapter 21 Complex Question Answering: Homogeneous or Heterogeneous, Which Ensemble Is Better?
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    Chapter 22 Towards the Design of User Friendly Search Engines for Software Projects
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    Chapter 23 Towards a New Standard Arabic Test Collection for Mono- and Cross-Language Information Retrieval
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    Chapter 24 Sentiment Analysis Techniques for Positive Language Development
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    Chapter 25 Exploiting Wikipedia for Entity Name Disambiguation in Tweets
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    Chapter 26 From Treebank Conversion to Automatic Dependency Parsing for Vietnamese
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    Chapter 27 Sentiment Analysis in Twitter for Spanish
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    Chapter 28 Cross-Domain Sentiment Analysis Using Spanish Opinionated Words
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    Chapter 29 Real-Time Summarization of Scheduled Soccer Games from Twitter Stream
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    Chapter 30 Focus Definition and Extraction of Opinion Attitude Questions
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    Chapter 31 Implicit Feature Extraction for Sentiment Analysis in Consumer Reviews
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    Chapter 32 Towards Creation of Linguistic Resources for Bilingual Sentiment Analysis of Twitter Data
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    Chapter 33 Integrating Linguistic and World Knowledge for Domain-Adaptable Natural Language Interfaces
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    Chapter 34 Speeding Up Multilingual Grammar Development by Exploiting Linked Data to Generate Pre-terminal Rules
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    Chapter 35 Senterritoire for Spatio-Temporal Representation of Opinions
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    Chapter 36 Mining Twitter for Suicide Prevention
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    Chapter 37 The Semantic Measures Library: Assessing Semantic Similarity from Knowledge Representation Analysis
  39. Altmetric Badge
    Chapter 38 Mobile Intelligent Virtual Agent with Translation Functionality
  40. Altmetric Badge
    Chapter 39 A Tool for Theme Identification in RDF Graphs
Overall attention for this book and its chapters
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Mentioned by

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4 X users
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1 Wikipedia page

Citations

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3 Dimensions

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Title
Natural Language Processing and Information Systems
Published by
Springer International Publishing, June 2014
DOI 10.1007/978-3-319-07983-7
ISBNs
978-3-31-907982-0, 978-3-31-907983-7
Editors

Métais, Elisabeth, Roche, Mathieu, Teisseire, Maguelonne

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 33%
Student > Postgraduate 1 33%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Computer Science 3 100%