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Readings in natural language processing
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Readings in natural language processing
An algorithm for generating quantifier scopings
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Computational Linguistics
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A maximum entropy approach to natural language processing
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Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Statistical Language Learning
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Determining the Scope of English Quantifiers
Determining the Scope of English Quantifiers
Maximum entropy models for natural language ambiguity resolution
Maximum entropy models for natural language ambiguity resolution
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COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
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ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
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ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
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EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A corpus of scope-disambiguated English text
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Unrestricted quantifier scope disambiguation
TextGraphs-6 Proceedings of TextGraphs-6: Graph-based Methods for Natural Language Processing
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This article describes a corpus-based investigation of quantifier scope preferences. Following recent work on multimodular grammar frameworks in theoretical linguistics and a long history of combining multiple information sources in natural language processing, scope is treated as a distinct module of grammar from syntax. This module incorporates multiple sources of evidence regarding the most likely scope reading for a sentence and is entirely data-driven. The experiments discussed in this article evaluate the performance of our models in predicting the most likely scope reading for a particular sentence, using Penn Treebank data both with and without syntactic annotation. We wish to focus attention on the issue of determining scope preferences, which has largely been ignored in theoretical linguistics, and to explore different models of the interaction between syntax and quantifier scope.