PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Using Gaussian Mixture Models to Detect Figurative Language in Context
Linlin Li and Caroline Sporleder
In: NAACL 2010, 1-6 June 2010, Los Angeles, USA.

Abstract

We present a Gaussian Mixture model for detecting different types of figurative language in context. We show that this model performs well when the parameters are estimated in an unsupervised fashion using EM. Performance can be improved further by estimating the parameters from a small annotated data set.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:7114
Deposited By:Caroline Sporleder
Deposited On:04 March 2011