@inproceedings{3155c6b5c2db4e96b73af203bb2f50a1,
title = "Inducing example-based semantic frames from a massive amount of verb uses",
abstract = "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.",
author = "Daisuke Kawahara and Peterson, {Daniel W.} and Octavian Popescu and Martha Palmer",
year = "2014",
doi = "10.3115/v1/e14-1007",
language = "English",
isbn = "9781632663962",
series = "14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014",
publisher = "Association for Computational Linguistics (ACL)",
pages = "58--67",
booktitle = "14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014",
note = "14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014 ; Conference date: 26-04-2014 Through 30-04-2014",
}