
Controlled Natural Language
Description
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Content
- Title
- Preface
- Organisation
- Table of Contents
- Typeful Ontologies with Direct Multilingual Verbalization
- Introduction
- The Abstract Syntax of SUMO-GF
- The Taxonomy
- Instances
- Functions, Predicates and Logical Formulas
- Proofs in Natural Language
- Russell's Paradox
- Verbalization
- Evaluation
- Automated Reasoning in SUMO-GF
- End-User Interface
- Related Work
- Future Work
- Conclusion
- References
- Controlling Ambiguities in Legislative Language
- Introduction
- Approach
- Status Quo in Legislative Drafting
- Ambiguities Controlled by Existing Drafting Guidelines
- Ambiguities Not Controlled by Existing Guidelines
- Proposed Rules
- Controlling Attachment Ambiguity
- Controlling Plural Ambiguities
- Related Work
- Conclusion
- References
- Interpreting Plurals in the Naproche CNL
- Introduction
- Proof Representation Structures
- Collective vs. Distributive Readings of Plurals
- Scope Ambiguity
- Pairwise Interpretations of Collective Plurals
- The Plural Interpretation Algorithm
- Related and Future Work
- Conclusion
- References
- Engineering a Controlled Natural Language into Semantic MediaWiki
- Introduction
- CLANN System
- CLANN Grammar
- CLANN Editor
- PDO Ontology
- Implementation
- CLANN Grammar
- Architecture
- Related Work
- Conclusion
- References
- First-Order Reasoning for Attempto Controlled English
- Introduction
- General Features of RACE
- Working with RACE
- A Look under the Hood of RACE
- All Things Considered
- Decidability, Termination, Efficiency, Looping and All That
- Conclusions
- References
- Codeco: A Practical Notation for Controlled English Grammars in Predictive Editors
- Introduction
- Background
- Requirements for Controlled English Grammars
- Natural Language Grammar Frameworks
- Parser Generators
- Definite Clause Grammars
- Related Work
- The Codeco Notation
- Simple Categories and Grammar Rules
- Normal Forward and Backward References
- Scopes and Accessibility
- Position Operators
- Negative Backward References
- Complex Backward References
- Strong Forward References
- Principles of Reference Resolution
- Restriction on Backward References
- Implementations
- ACE Codeco Grammar
- Evaluation
- Conclusions
- References
- Controlled Language for Everyday Use: The MOLTO Phrasebook
- Introduction
- The Semantic Model
- Concrete Syntax
- Ambiguity and Disambiguation
- Example-Based Grammar Writing
- The Mobile Application
- Evaluation
- Translation Quality
- Coverage
- Engineering Effort
- Usability
- Conclusion
- References
- Controlled Natural Language in a Game for Legal Assistance
- Introduction
- Artificial Legal Assistance
- Legal Assistance with Contracts
- CNLs, Contracts and Games
- Nomic and BanaNomic
- A Deontic Contract Logic and Language for BanaNomic
- BanaL, a CNL for BanaNomic User Input
- Discussion
- Explanation, Structure and Layout
- Layout and Presentation
- Syntactic Sugar and Semantics
- Conclusions
- References
- Working with Events and States in PENG Light
- Introduction
- Controlled Natural Languages (CNLs)
- PENG Light
- The Language Processor of PENG Light
- Writing Support for PENG Light
- Events and States in PENG Light
- A Scenario in PENG Light
- The Event Calculus (EC)
- The Simplified Event Calculus (SEC)
- The SEC at Work
- Specifying Background Knowledge in PENG Light
- Specifying Axioms for Direct Effects in PENG Light
- Specifying Axioms for Indirect Effects in PENG Light
- Specifying Axioms for Continuous Change in PENG Light
- Finding Explanations via Abduction
- Conclusions
- References
- Using CNL Techniques and Pattern Sentences to Involve Domain Experts in Modeling
- Need for Controlled Natural Languages in Modeling
- Related Work
- Syntax Based Approaches
- Pattern Based Approaches
- Textual versus Graphical Representations
- Using Pattern Sentences to Verbalize Models
- Separating Syntax from Semantics
- Mapping between Graphs and Pattern Sentences
- Example: A Telecom Product Model
- Example: Verbalizing a Process Ontology
- Choosing Pattern Sentences
- Structuring the Use of Natural Language
- RuleSpeak Sentence Patterns
- RuleSpeak Guidelines
- Human Interfaces Based on Pattern Sentences
- Using Language Representation in Knowledge Base Access
- Editing Models by Manipulating Sentences
- Conclusions and Future Work
- References
- Author Index
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