Reasoning and revision in hybrid representation systems
Reasoning and revision in hybrid representation systems
Configuring Large Systems Using Generative Constraint Satisfaction
IEEE Intelligent Systems
Configuration Knowledge Representation Using UML/OCL
UML '02 Proceedings of the 5th International Conference on The Unified Modeling Language
A classification and constraint-based framework for configuration
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Topological dependency trees: a constraint-based account of linear precedence
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
An overview of knowledge‐based configuration
AI Communications
Dynamic constraint satisfaction problems
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
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Recent linguistic theories are feature-based and heavily rely upon the concept of constraint. Several authors have pointed out the similarity existing between the representation of the features in feature-based theories and the notions of objects or frames. Object-oriented configuration allows us to deal with these modern grammars. We propose here a systematic translation of the concepts and constraints introduced by two linguistic formalisms: the recent property grammars and the HPSG theory, to configuration problems representing specific target languages. We assess the usefulness of these translations by studying first a natural language subset with lexical ambiguities, using property grammars. Detailed explanations on the solver's behavior are given in this case. The article then presents a configuration model for a fragment of the HPSG grammar for English, together with details on implementing HPSG principles as configuration constraints.