Controlled Natural Language

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Details

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.

Includes supplementary material: sn.pub/extras

Inhalt
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 OptimizedComprehension 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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319414973
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 144
    • Lesemotiv Verstehen
    • Genre Software
    • Auflage 1st edition 2016
    • Editor Brian Davis, Adam Wyner, Gordon J. Pace
    • Sprache Englisch
    • Gewicht 230g
    • Untertitel 5th International Workshop, CNL 2016, Aberdeen, UK, July 25-27, 2016, Proceedings
    • Größe H235mm x B155mm x T9mm
    • Jahr 2016
    • EAN 9783319414973
    • Format Kartonierter Einband
    • ISBN 3319414976
    • Veröffentlichung 12.07.2016
    • Titel Controlled Natural Language

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