Inducing Example-based Semantic Frames from a Massive Amount of Verb Uses
Daisuke Kawahara, Daniel Peterson, Octavian Popescu, Martha Stone Palmer · 2014
We present an unsupervised method for inducing semantic frames from verb uses in giga-word corpora.Our semantic frames are verb-specific example-based frames that are distinguished according to their senses.We use the Chinese Restaurant Process to automatically induce these frames from a massive amount of verb instances.In our experiments, we acquire broad-coverage semantic frames from two giga-word corpora, the larger comprising 20 billion words.Our experimental results indicate the effectiveness of our approach.