The disambiguation of nominalizations
Computational Linguistics
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Computational Linguistics - Special issue on using large corpora: II
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ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
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ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
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Journal of Logic and Computation
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COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
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HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
SETQA-NLP '09 Proceedings of the Workshop on Software Engineering, Testing, and Quality Assurance for Natural Language Processing
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AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Arguments of nominals in semantic interpretation of biomedical text
BioNLP '10 Proceedings of the 2010 Workshop on Biomedical Natural Language Processing
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The availability of large parsed corpora and improved computing resources now make it possible to extract vast amounts of lexical data. We describe the process of extracting structured data and several methods of deriving argument structure mappings for deverbal nouns that significantly improves upon non-lexicalized rule-based methods. For a typical model, the F-measure of performance improves from a baseline of about 0.72 to 0.81.