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EMNLP
2004

NP Bracketing by Maximum Entropy Tagging and SVM Reranking

9 years 7 months ago
NP Bracketing by Maximum Entropy Tagging and SVM Reranking
We perform Noun Phrase Bracketing by using a local, maximum entropy-based tagging model, which produces bracketing hypotheses. These hypotheses are subsequently fed into a reranking framework based on support vector machines. We solve the problem of hierarchical structure in our tagging model by modeling underspecified tags, which are fully determined only at decoding time. The tagging model performs comparably to competing approaches and the subsequent reranking increases
Hal Daumé III, Daniel Marcu
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where EMNLP
Authors Hal Daumé III, Daniel Marcu
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