↓ Skip to main content

Language, Data, and Knowledge

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

Table of Contents

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

Mentioned by

1 news outlet
2 blogs
20 tweeters
2 Facebook pages
2 Wikipedia pages

Readers on

27 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Language, Data, and Knowledge
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-59888-8
978-3-31-959887-1, 978-3-31-959888-8

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%