An algorithm for generating quantifier scopings
Computational Linguistics
Computational Linguistics
Artificial Intelligence
Ambiguous noun phrases in logical form
Computational Linguistics
Quantification and Cognitive Constraints in Natural Language Understanding
SBIA '95 Proceedings of the 12th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
A calculus for semantic composition and scoping
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Quantifier scope and constituency
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Quantifier scoping in the SRI core language engine
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Language and Commonsense Knowledge
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Language, logic and ontology: Uncovering the structure of commonsense knowledge
International Journal of Human-Computer Studies
Quantifier scope disambiguation using extracted pragmatic knowledge: preliminary results
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Hi-index | 0.00 |
Quantification in natural language is an important phenomena that seems to touch on some pragmatic and inferential aspects of language understanding. In this paper we focus on quantifier scope ambiguity and suggest a cognitively plausible model that resolves a number of problems that have traditionally been addressed in isolation. Our claim here is that the problem of quantifier scope ambiguity can not be adequately addressed at the syntactic and semantic levels, but is an inferencing problem that must be addressed at the pragmatic and discourse levels.