Paper: Inducing Example-based Semantic Frames from a Massive Amount of Verb Uses

ACL ID E14-1007
Title Inducing Example-based Semantic Frames from a Massive Amount of Verb Uses
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

We present an unsupervised method for in- ducing 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 Restau- rant Process to automatically induce these frames from a massive amount of verb in- stances. 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.