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Controlled Natural Language 5th International Workshop, CNL 2016, Aberdeen, UK, July 25-27, 2016, Proceedings / [electronic resource] : edited by Brian Davis, Gordon J. Pace, Adam Wyner. - X, 131 p. 27 illus. online resource. - Lecture Notes in Computer Science, 9767 0302-9743 ; . - Lecture Notes in Computer Science, 9767 .

A Controlled Natural Language For Tax Fraud Detection -- Reasoning in Attempto Controlled English: Non-Monotonicity -- Bootstrapping a Runyankore CNL from an isiZulu CNL -- Statistically-Guided Controlled Language Authoring -- A Speech Interface to the PENGASP System -- Asking Data in a Controlled Way with Ask Data Anything NQL -- To What Extent Does Text Simplification Entail a More Optimized Comprehension in Human-Oriented CNLs? -- Using CNL for Knowledge Elicitation and Exchange across Story Generation Systems -- Towards a High-level Controlled Language for Legal Sources on the Semantic Web -- The Controlled Natural Language of Randall Munroe's Thing Explainer -- Multilingual Database Access in the Query Converter -- The Role of CNL and AMR in Scalable Abstractive Summarization for Multilingual Media Monitoring -- Human-Robot Interaction in a Shopping Mall: A CNL Approach.

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.


10.1007/978-3-319-41498-0 doi

Computer science.
Software engineering.
Database management.
Data mining.
Artificial intelligence.
Text processing (Computer science).
Computational linguistics.
Computer Science.
Artificial Intelligence (incl. Robotics).
Data Mining and Knowledge Discovery.
Language Translation and Linguistics.
Database Management.
Document Preparation and Text Processing.
Software Engineering.

Q334-342 TJ210.2-211.495


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