Titlebook: Controlled Natural Language; Second International Michael Rosner,Norbert E. Fuchs Conference proceedings 2012 Springer-Verlag Berlin Heidel

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0302-9743 nternational Workshop on Controlled Natural Language, CNL 2010, held in Marettimo Island, Italy, in September 2010. The 9 revised papers presented in this volume, together with 1 tutorial, were carefully reviewed and selected from 17 initial submissions. They broadly cover the field of controlled na

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Duodenoscopy and Ileocolonoscopy, present a special scope ambiguity conjunctions give rise to. Finally, we describe an innovative plural interpretation algorithm implemented in Naproche for disambiguating plurals in DRT and giving them the interpretation that would normally be preferred in a mathematical context.

vertebrate

,Station?re Versorgungskonzepte,ns. Through the logical framework that it incorporates, GF allows a consistent ontology representation, and thanks to its grammatical features the ontology is directly verbalized in a number of controlled natural languages.

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Controlled Language for Everyday Use: The MOLTO Phrasebook, the web and on mobile phones. While a useful application as such, the Phrasebook also paves the way for an extended notion of controlled language, and the techniques are aimed to be general enough to support many such extensions.

EWE

Working with Events and States in PENG Light,shes between events and states can be aligned with the input language of the Event Calculus, and then be used for automated reasoning. Finally, I show how the Event Calculus can be used to support the question answering process and then evaluate its reasoning capabilities using a number of benchmark questions stated in controlled natural language.

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Using CNL Techniques and Pattern Sentences to Involve Domain Experts in Modeling,al logics, 2) can be easily generated from the formal representation and 3) can be easily adjusted for other natural languages and cultural preferences. The solution uses patterns to represent the CNL that map to the conceptual graph. The patterns are based on SBVR’s RuleSpeak and can be easily adjusted for local differences.