PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

TRIPLET EXTRACTION FROM SENTENCES USING SVM
Lorand Dali and Blaz Fortuna
In: SiKDD 2008, 17 Oct, Ljubljana, Slovenia.

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.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:4969
Deposited By:Jan Rupnik
Deposited On:24 March 2009