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Language, Data, and Knowledge

Overview of attention for book
Cover of 'Language, Data, and Knowledge'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 An Evaluation Dataset for Linked Data Profiling
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    Chapter 2 Personal Research Agents on the Web of Linked Open Data
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    Chapter 3 Hybrid Method for Stress Prediction Applied to GLAFF-IT, a Large-Scale Italian Lexicon
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    Chapter 4 OnLiT: An Ontology for Linguistic Terminology
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    Chapter 5 Representing and Aligning Similar Relations: Parts and Wholes in isiZulu vs. English
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    Chapter 6 CoNLL-RDF: Linked Corpora Done in an NLP-Friendly Way
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    Chapter 7 LLODifying Linguistic Glosses
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    Chapter 8 A Semantic Frame-Based Similarity Metric for Characterizing Technological Capabilities
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    Chapter 9 Reassembling and Enriching the Life Stories in Printed Biographical Registers: Norssi High School Alumni on the Semantic Web
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    Chapter 10 Named Entity Linking in a Complex Domain: Case Second World War History
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    Chapter 11 Using SWRL Rules to Model Noun Behaviour in Italian
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    Chapter 12 Hunger for Contextual Knowledge and a Road Map to Intelligent Entity Linking
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    Chapter 13 Weak Supervision for Semi-supervised Topic Modeling via Word Embeddings
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    Chapter 14 Towards Interoperability in the European Poetry Community: The Standardization of Philological Concepts
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    Chapter 15 Joint Entity Recognition and Linking in Technical Domains Using Undirected Probabilistic Graphical Models
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    Chapter 16 Neural Induction of a Lexicon for Fast and Interpretable Stance Classification
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    Chapter 17 The Colloquial WordNet: Extending Princeton WordNet with Neologisms
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    Chapter 18 Shifting Complexity from Text to Data Model
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    Chapter 19 Comparison of Word Embeddings from Different Knowledge Graphs
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    Chapter 20 Multi-pass Sieve Coreference Resolution System for Polish
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    Chapter 21 Assessing VocBench Custom Forms in Supporting Editing of Lemon Datasets
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    Chapter 22 Answering the Hard Questions
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    Chapter 23 Multilingual Fine-Grained Entity Typing
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    Chapter 24 AATOS – A Configurable Tool for Automatic Annotation
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    Chapter 25 Deep Text Generation – Using Hierarchical Decomposition to Mitigate the Effect of Rare Data Points
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    Chapter 26 Identifying Equivalent Relation Paths in Knowledge Graphs
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    Chapter 27 SRDF: A Novel Lexical Knowledge Graph for Whole Sentence Knowledge Extraction
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    Chapter 28 Letting the Genie Out of the Lamp: Using Natural Language Processing Tools to Predict Math Performance
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    Chapter 29 Measuring Accuracy of Triples in Knowledge Graphs
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    Chapter 30 Exploring the Role of Gender in 19th Century Fiction Through the Lens of Word Embeddings
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    Chapter 31 Scalable Disambiguation System Capturing Individualities of Mentions
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    Chapter 32 Multi-label Text Classification Using Semantic Features and Dimensionality Reduction with Autoencoders
Overall attention for this book and its chapters
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1 news outlet
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2 blogs
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20 tweeters
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2 Facebook pages
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2 Wikipedia pages

Readers on

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Title
Language, Data, and Knowledge
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-59888-8
ISBNs
978-3-31-959887-1, 978-3-31-959888-8
Editors

Jorge Gracia, Francis Bond, John P. McCrae, Paul Buitelaar, Christian Chiarcos, Sebastian Hellmann

Twitter Demographics

The data shown below were collected from the profiles of 20 tweeters 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 30%
Student > Ph. D. Student 7 26%
Student > Doctoral Student 3 11%
Lecturer 2 7%
Student > Bachelor 1 4%
Other 1 4%
Unknown 5 19%
Readers by discipline Count As %
Computer Science 13 48%
Mathematics 2 7%
Psychology 2 7%
Arts and Humanities 1 4%
Linguistics 1 4%
Other 2 7%
Unknown 6 22%