Conceptual graphs for the analysis and generation of sentences
IBM Journal of Research and Development
Tools and methods for computational lexicology
Computational Linguistics - Special issue of the lexicon
Acquisition of semantic patterns from a natural corpus of texts
ACM SIGART Bulletin - Special issue on knowledge acquisition
Knowledge representation for commonsense reasoning with text
Computational Linguistics
Semantic features and selection restrictions
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
Computer aided interpretation of lexical cooccurrences
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
COMPLEX: a computational lexicon for natural language systems
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Commonsense reasoning with verbs
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Towards incremental disambiguation with a generalized discrimination network
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Hi-index | 0.00 |
This paper describes Kind Types (KT), a system which uses commonsense knowledge to reason about natural language text. KT encodes some of the knowledge underlying natural language understanding, including category distinctions and descriptions differentiating real-world objects, states and events. It embeds an ontology reflecting the ordinary person's top-level cognitive model of real-world distinctions and a database of prototype descriptions of real-world entities. KT is transportable, empirically-based and constrained for efficient reasoning in ways similar to human reasoning processes.