Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Augmented phrase structure grammars
TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
Conceptual graphs for the analysis and generation of sentences
IBM Journal of Research and Development
Acquisition of semantic patterns from a natural corpus of texts
ACM SIGART Bulletin - Special issue on knowledge acquisition
Capturing the deep meaning of texts through deduction and inference
IBM Journal of Research and Development
Computational lexicons: the neat examples and the odd exemplars
ANLC '92 Proceedings of the third conference on Applied natural language processing
Constructing an intelligent dictionary help system
Natural Language Engineering
Computer aided interpretation of lexical cooccurrences
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Lexical knowledge representation in an intelligent dictionary help system
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
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A framework for a structured representation of semantic knowledge (e.g. word-senses) has been defined at the IBM Scientific Center of Roma, as part of a project on Italian Text Understanding. This representation, based on the conceptual graphs formalism [SOW84], expresses deep knowledge (pragmatic) on word-senses. The knowledge base data structure is such as to provide easy access by the semantic verification algorithm. This paper discusses some important problem related to the definition of a semantic knowledge base, as depth versus generality, hierarchical ordering of concept types, etc., and describes the solutions adopted within the text understanding project.