Controlled Natural Language

1. Front Matter

   Pages I-X

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2. A Controlled Natural Language for Tax Fraud Detection

   • Aaron Calafato, Christian Colombo, Gordon J. Pace

   Pages 1-12

3. Reasoning in Attempto Controlled English: Non-monotonicity

   • Norbert E. Fuchs

   Pages 13-24

4. Bootstrapping a Runyankore CNL from an isiZulu CNL

   • Joan Byamugisha, C. Maria Keet, Brian DeRenzi

   Pages 25-36

5. Statistically-Guided Controlled Language Authoring

   • Susana Palmaz, Montse Cuadros, Thierry Etchegoyhen

   Pages 37-47

6. A Speech Interface to the PENG\(^{ASP}\) System

   • Christopher Nalbandian, Rolf Schwitter

   Pages 48-57

7. Asking Data in a Controlled Way with Ask Data Anything NQL

   • Alessandro Seganti, Paweł Kapłański, Jesus David Nuñez Campo, Krzysztof Cieśliński, Jerzy Koziołkiewicz, Paweł Zarzycki

   Pages 58-68

8. To What Extent Does Text Simplification Entail a More Optimized Comprehension in Human-Oriented CNLs?

   • Nataly Jahchan, Anne Condamines, Emmanuelle Cannesson

   Pages 69-80

9. Using CNL for Knowledge Elicitation and Exchange Across Story Generation Systems

   • Eugenio Concepción, Pablo Gervás, Gonzalo Méndez, Carlos León

   Pages 81-91

10. Towards a High-Level Controlled Language for Legal Sources on the Semantic Web

    • Adam Wyner, Adeline Nazarenko, François Lévy

    Pages 92-101

11. The Controlled Natural Language of Randall Munroe’s Thing Explainer

    • Tobias Kuhn

    Pages 102-110

12. Human-Robot Interaction in a Shopping Mall: A CNL Approach

    • Ezgi Demirel, Kamil Doruk Gur, Esra Erdem

    Pages 111-122

13. Erratum to: Controlled Natural Language

    • Brian Davis, Gordon J. Pace, Adam Wyner

    Pages E1-E1

14. Back Matter

    Pages 123-131

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This book constitutes the refereed proceedings of the 5th International Workshop on Controlled Natural Language, CNL 2016, held in Aberdeen, UK, in July 2016. The 11 full papers presented were carefully reviewed and selected from 15 submissions. The topics range from natural languages which are controlled, to controlled languages with a natural language flavour; and from more theoretical results to interfaces, reasoning engines and real-life applications of CNLs.

• human robot interaction
• language design
• language modeling
• natural language processing
• semantic Web networks
• comprehension optimization
• controlled natural languages
• domain specific languages
• human factors
• knowledge representation
• monotonic reasoning
• natural language generation
• natural language reasoning
• psycholinguistics
• semantic annotation
• speech interfaces
• speech recognition services
• story generation
• text comprehension
• word prediction

• National University of Ireland , Galway, Ireland

  Brian Davis

• University of Malta , Msida, Malta

  Gordon J. Pace

• University of Aberdeen , Aberdeen, United Kingdom

  Adam Wyner

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