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TRIPLET EXTRACTION FROM SENTENCES USING SVM
Lorand Dali and Blaz Fortuna
In: SiKDD 2008, 17 Oct, Ljubljana, Slovenia.
AbstractIn this paper we present a machine learning approach to
extract subject-predicate-object triplets from English
sentences. SVM is used to train a model on human
annotated triplets, and the features are computed from
three parsers. | EPrint Type: | Conference or Workshop Item (Paper) |
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| Project Keyword: | Project Keyword UNSPECIFIED |
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| Subjects: | Natural Language Processing |
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| ID Code: | 4969 |
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| Deposited By: | Jan Rupnik |
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| Deposited On: | 24 March 2009 |
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