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Language Technologies for the Challenges of the Digital Age

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Cover of 'Language Technologies for the Challenges of the Digital Age'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Reconstruction of Separable Particle Verbs in a Corpus of Spoken German
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    Chapter 2 Detecting Vocal Irony
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    Chapter 3 The Devil is in the Details: Parsing Unknown German Words
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    Chapter 4 Exploring Ensemble Dependency Parsing to Reduce Manual Annotation Workload
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    Chapter 5 Different German and English Coreference Resolution Models for Multi-domain Content Curation Scenarios
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    Chapter 6 Word and Sentence Segmentation in German: Overcoming Idiosyncrasies in the Use of Punctuation in Private Communication
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    Chapter 7 Fine-Grained POS Tagging of German Social Media and Web Texts
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    Chapter 8 Developing a Stemmer for German Based on a Comparative Analysis of Publicly Available Stemmers
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    Chapter 9 Negation Modeling for German Polarity Classification
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    Chapter 10 NECKAr: A Named Entity Classifier for Wikidata
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    Chapter 11 Investigating the Morphological Complexity of German Named Entities: The Case of the GermEval NER Challenge
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    Chapter 12 Detecting Named Entities and Relations in German Clinical Reports
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    Chapter 13 In-Memory Distributed Training of Linear-Chain Conditional Random Fields with an Application to Fine-Grained Named Entity Recognition
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    Chapter 14 What Does This Imply? Examining the Impact of Implicitness on the Perception of Hate Speech
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    Chapter 15 Automatic Classification of Abusive Language and Personal Attacks in Various Forms of Online Communication
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    Chapter 16 Token Level Code-Switching Detection Using Wikipedia as a Lexical Resource
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    Chapter 17 How Social Media Text Analysis Can Inform Disaster Management
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    Chapter 18 A Comparative Study of Uncertainty Based Active Learning Strategies for General Purpose Twitter Sentiment Analysis with Deep Neural Networks
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    Chapter 19 An Infrastructure for Empowering Internet Users to Handle Fake News and Other Online Media Phenomena
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    Chapter 20 Different Types of Automated and Semi-automated Semantic Storytelling: Curation Technologies for Different Sectors
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    Chapter 21 Twitter Geolocation Prediction Using Neural Networks
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    Chapter 22 Diachronic Variation of Temporal Expressions in Scientific Writing Through the Lens of Relative Entropy
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    Chapter 23 A Case Study on the Relevance of the Competence Assumption for Implicature Calculation in Dialogue Systems
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    Chapter 24 Supporting Sustainable Process Documentation
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    Chapter 25 Optimizing Visual Representations in Semantic Multi-modal Models with Dimensionality Reduction, Denoising and Contextual Information
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    Chapter 26 Using Argumentative Structure to Grade Persuasive Essays
Attention for Chapter 10: NECKAr: A Named Entity Classifier for Wikidata
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Chapter title
NECKAr: A Named Entity Classifier for Wikidata
Chapter number 10
Book title
Language Technologies for the Challenges of the Digital Age
Published by
Springer, Cham, September 2017
DOI 10.1007/978-3-319-73706-5_10
Book ISBNs
978-3-31-973705-8, 978-3-31-973706-5
Authors

Johanna Geiß, Andreas Spitz, Michael Gertz

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 26%
Researcher 3 16%
Lecturer 2 11%
Student > Ph. D. Student 2 11%
Professor 1 5%
Other 2 11%
Unknown 4 21%
Readers by discipline Count As %
Computer Science 11 58%
Linguistics 1 5%
Social Sciences 1 5%
Medicine and Dentistry 1 5%
Unknown 5 26%