Controlled Natural Language 5th International Workshop, CNL 2016, Aberdeen, UK, July 25-27, 2016, Proceedings

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 cont...

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Main Authors Davis, Brian, Pace, Gordon J, Wyner, Adam
Format eBook Conference Proceeding
LanguageEnglish
Published Cham Springer Nature 2016
Springer International Publishing AG
Springer International Publishing
Springer
Edition1
SeriesLecture Notes in Computer Science
Subjects
Online AccessGet full text
ISBN3319414984
9783319414980
9783319414973
3319414976
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-41498-0

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Abstract 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.
AbstractList 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.
Author Davis, Brian
Pace, Gordon J
Wyner, Adam
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SubjectTerms Artificial Intelligence
Computer Science
Data Mining and Knowledge Discovery
Database Management
Natural language processing (Computer science)
Natural Language Processing (NLP)
Software Engineering
Special computer methods
Subtitle 5th International Workshop, CNL 2016, Aberdeen, UK, July 25-27, 2016, Proceedings
TableOfContents Intro -- Preface -- Organization -- Contents -- A Controlled Natural Language for Tax Fraud Detection -- 1 Introduction -- 2 A Fraud Monitoring Architecture -- 3 A CNL for the Specification of Fraud Rules -- 3.1 The Language -- 3.2 CNL Evaluation -- 4 Monitoring Fraud Rules -- 5 Related Work -- 6 Conclusions -- References -- Reasoning in Attempto Controlled English: Non-monotonicity -- Abstract -- 1 Introduction -- 2 General Features of RACE -- 3 Monotonic and Non-monotonic Summation -- 4 Non-monotonic Reasoning -- 5 Abduction -- 6 Conclusions -- Acknowledgements -- References -- Bootstrapping a Runyankore CNL from an isiZulu CNL -- 1 Introduction -- 2 Basics of Runyankore -- 3 Related Work -- 4 Comparing Verbalization in IsiZulu and Runyankore -- 5 Evaluation -- 6 Discussion -- 7 Conclusions -- References -- Statistically-Guided Controlled Language Authoring -- 1 Introduction -- 2 Background -- 3 Approach -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusions and Future Work -- References -- A Speech Interface to the PENGASP System -- 1 Introduction -- 2 Current Architecture of the PENGASP System -- 3 Speech Interface and Web Speech API Requirements -- 4 Interface Design and Implementation -- 5 Discussion -- 6 Future Research -- 7 Conclusion -- References -- Asking Data in a Controlled Way with Ask Data Anything NQL -- 1 Introduction -- 1.1 History of NLIDB -- 2 Ask Data Anything -- 2.1 The Ask Data Anything Architecture -- 2.2 The Ask Data Anything Parser -- 3 ADA NQL -- 4 Evaluation -- 4.1 General Advantages and Disadvantages of NQL and NLIDB -- 4.2 PENS Classification Scheme -- 5 Conclusion and Future Work -- 6 Conflict of Interest -- References -- To What Extent Does Text Simplification Entail a More Optimized Comprehension in Human-Oriented CNLs? -- Abstract -- 1 Introduction -- 2 Context -- 3 Aim -- 4 State of the Art
The Role of CNL and AMR in Scalable Abstractive Summarization for Multilingual Media Monitoring -- Acknowledgements -- References -- Erratum to: Controlled Natural Language -- Erratum to: B. Davis et&amp -- #146 -- al. (Eds.) Controlled Natural Language DOI: 10.1007/978-3-319-41498-0 -- Author Index
4.1 Simpson and Hart -- 4.2 AECMA SE Evaluations -- 5 Approach -- 5.1 Hypothesis -- 5.2 Participants -- 5.3 Procedure -- 6 Conclusion -- References -- Using CNL for Knowledge Elicitation and Exchange Across Story Generation Systems -- 1 Introduction -- 2 Related Work -- 2.1 Knowledge Representation in Storytelling Systems -- 2.2 Use of CNL in Storytelling Systems -- 3 Knowledge Elicitation for Storytelling Systems -- 3.1 Transformation Across Representations in Storytelling Systems -- 4 Using CNL for Knowledge Elicitation and Exchange Across Story Generation Systems -- 5 A Case Study: The STellA System -- 5.1 Knowledge Representation in STellA -- 5.2 Fundamental Features of a CNL for STellA -- 6 Discussion -- 7 Conclusions and Future Work -- References -- Towards a High-Level Controlled Language for Legal Sources on the Semantic Web -- 1 Introduction -- 2 Related Work -- 3 Annotating Legal Content with hCL -- 4 Specification of hCL -- 5 Annotation Support -- 6 Summary and Future Work -- References -- The Controlled Natural Language of Randall Munroe's Thing Explainer -- 1 Introduction -- 2 Language Analysis -- 2.1 Similar Languages -- 2.2 Language Properties -- 2.3 Word List -- 2.4 Word Production Rules -- 2.5 Word Distribution -- 3 Methods -- 4 Discussion -- References -- Human-Robot Interaction in a Shopping Mall: A CNL Approach -- 1 Introduction -- 2 Transforming Speech into Text -- 3 Parsing Input Text Using H2R-CNL -- 4 Sparql Query Generation -- 4.1 Shopping Mall Ontology -- 4.2 Constructing Sparql Queries -- 5 Path Finding -- 6 Describing the Path to User via Speech -- 7 Case Study -- 8 Conclusion -- References -- Erratum to: Controlled Natural Language -- Erratum to: B. Davis et al. (Eds.) Controlled Natural Language -- Multilingual Database Access in the Query Converter -- 1 The Mission -- 2 First Results
Title Controlled Natural Language
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