Semantic interpretation and ambiguity
Artificial Intelligence
Natural language, knowledge representation, and logical form
A symposium on future directions in natural language processing on Challenges in natural language processing
Concurrent, object-oriented natural language parsing: the ParseTalk model
International Journal of Human-Computer Studies - Special issue: object-oriented approaches in artificial intelligence and human-computer interaction
Towards text knowledge engineering
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Semantic interpretation using KL-ONE
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
A computational semantics for natural language
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
A logic for semantic interpretation
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
"Tall", "good", "high": compared to what?
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
On the interaction of metonymies and anaphora
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Text Understanding for Knowledge Base Generation in the SYNDIKATE System
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
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We introduce two abstraction mechanisms for streamlining the process of semantic interpretation. Configurational descriptions of dependency graphs increase the linguistic generality of interpretation schemata, while interfacing them to lexical and conceptual inheritance hierarchies reduces the amount and complexity of semantic specifications.