Theory of Syntactic Recognition for Natural Languages
Theory of Syntactic Recognition for Natural Languages
Conceptual Information Processing
Conceptual Information Processing
Montague grammar and machine translation between thai and english
Montague grammar and machine translation between thai and english
On the unification of language comprehension with problem solving
On the unification of language comprehension with problem solving
On the unification of language comprehension with problem solving
On the unification of language comprehension with problem solving
From English to logic: context-free computation of "conventional" logical translation
Computational Linguistics
Translating English into logical form
ACL '82 Proceedings of the 20th annual meeting on Association for Computational Linguistics
Processing English with a Generalized Phrase Structure Grammar
ACL '82 Proceedings of the 20th annual meeting on Association for Computational Linguistics
ACL '81 Proceedings of the 19th annual meeting on Association for Computational Linguistics
A message-passing control structure for text understanding
COLING '82 Proceedings of the 9th conference on Computational linguistics - Volume 1
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
The Parallel Expert Parser (PEP): a thoroughly revised descendant of the word Expert Parser (WEP)
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
The effect of syntactic representation on semantic role labeling
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
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Traditionally, translation from the parse tree representing a sentence to a semantic representation (such as frames or procedural semantics) has always been the most ad hoc part of natural language understanding (NLU) systems. However, recent advances in linguistics, most notably the system of formal semantics known as Montague semantics, suggest ways of putting NLU semantics onto a cleaner and firmer foundation. We are using a Montague-inspired approach to semantics in an integrated NLU and problem-solving system that we are building. Like Montague's, our semantics are compositional by design and strongly typed, with semantic rules in one-to-one correspondence with the meaning-affecting rules of a Marcus-style parser. We have replaced Montague's semantic objects, functors and truth conditions, with the elements of the frame language Frail, and added a word sense and case slot disambiguation system. The result is a foundation for semantic interpretation that we believe to be superior to previous approaches.