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TRIPLET EXTRACTION FROM SENTENCES USING SVM (2008)

Abstract
In 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.

Publication details
Download http://eprints.pascal-network.org/archive/00004969/
Repository PASCAL EPrints (United Kingdom)
Keywords Natural Language Processing
Type Conference or Workshop Item, PeerReviewed
Relation http://kt.ijs.si/dunja/SiKDD2008/Papers/Dali_Final.pdf