Paper: Using Gaussian Mixture Models to Detect Figurative Language in Context

ACL ID N10-1039
Title Using Gaussian Mixture Models to Detect Figurative Language in Context
Venue Human Language Technologies
Session Main Conference
Year 2010
Authors

We present a Gaussian Mixture model for de- tecting 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 pa- rameters from a small annotated data set.