CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Natural language processing and knowledge representation
The role of domain information in Word Sense Disambiguation
Natural Language Engineering
Ontology Matching
Word Sense Disambiguation as the Primary Step of Ontology Integration
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Your metaphor or mine: belief ascription and metaphor interpretation
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Automatic text-to-scene conversion in the traffic accident domain
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
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Computational semantics and logic-based controlled natural languages (CNL) do not address systematically the word sense disambiguation problem of content words, i.e., they tend to interpret only some functional words that are crucial for construction of discourse representation structures. We show that micro-ontologies and multi-word units allow integration of the rich and polysemous multi-domain background knowledge into CNL thus providing interpretation for the content words. The proposed approach is demonstrated by extending the Attempto Controlled English (ACE) with polysemous and procedural constructs resulting in a more natural CNL named PAO covering narrative multi-domain texts.