Learning Frames from Text with an Unsupervised Latent Variable Model

Abstract

We develop a probabilistic latent-variable model to discover semantic frames—types of events or relations and their participants—from corpora. Our key contribution is a model in which (1) frames are latent categories that explain the linking of verb-subject-object triples in a given document context; and (2) cross-cutting semantic word classes are learned… (More)

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Cite this paper

@article{OConnor2012LearningFF, title={Learning Frames from Text with an Unsupervised Latent Variable Model}, author={Brendan T. O'Connor}, journal={CoRR}, year={2012}, volume={abs/1307.7382} }