International Workshop on Controlled Natural Language (2021)
Proceedings of the Seventh International Workshop on Controlled Natural Language (CNL 2020/21)
Proceedings of the Seventh International Workshop on Controlled Natural Language (CNL 2020/21)
Tobias Kuhn
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Silvie Spreeuwenberg
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Stijn Hoppenbrouwers
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Norbert E. Fuchs
Towards a More Natural Controlled Language in Future Airbus Cockpits. A Psycho-linguistic Evaluation
Nataly Jahchan
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Anne Condamines
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Emmanuelle Cannesson
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Helene Giraudo
Grammar-Based Concept Alignment for Domain-Specific Machine Translation
Arianna Masciolini
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Aarne Ranta
Tailoring a Controlled Language Out of a Corpus of Maintenance Reports
Yannis Haralambous
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Tian Tian
Approximating a Zulu GF concrete syntax with a neural network for natural language understanding
Laurette Marais
The Grammar of PENG ASP Explained
Rolf Schwitter
RegelSpraak: a CNL for Executable Tax Rules Specification
Mischa Corsius
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Stijn Hoppenbrouwers
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Mariette Lokin
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Elian Baars
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Gertrude Sangers-Van Cappellen
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Ilona Wilmont
The Law of Inertia and the Frame Problem in Attempto Controlled English
Norbert E. Fuchs
Reasoning in Attempto Controlled English: Mathematical and Functional Extensions
Norbert E. Fuchs
A quality evaluation framework for a CNL for agile law execution
Ilona Wilmont
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Diederik Dulfer
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Jan Hof
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Mischa Corsius
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Stijn Hoppenbrouwers
Towards CNL-based verbalization of computational contracts
Inari Listenmaa
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Maryam Hanafiah
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Regina Cheong
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Andreas Källberg
Assessing and Enhancing Bottom-up CNL Design for Competency Questions for Ontologies
Mary-Jane Antia
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C. Maria Keet
Human-understandable and Machine-processable Explanations for Sub-symbolic Predictions
Abdus Salam
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Rolf Schwitter
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Mehmet Orgun
Toward a Reference Architecture for Traceability in SBVR-based Systems
Lloyd Rutledge
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Rudy Italiaander
Facilitating the application of Controlled Natural Language (CNL) to standardize communication in logistics and supply chain management
Joel Cedric Lengeling
A CNL-based Method for Detecting Disease Negation
Joan Byamugisha
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Nomonde Khalo
Multi-Phase Context Vectors for Generating Feedback for Natural-Language Based Programming
Michael Hsiao