@inproceedings{8f3bf05a89aa4ecea215a8d12bb39396,
title = "FrameNet+: Fast paraphrastic tripling of framenet",
abstract = "We increase the lexical coverage of FrameNet through automatic paraphras-ing. We use crowdsourcing to manually filter out bad paraphrases in order to en-sure a high-precision resource. Our ex-panded FrameNet contains an additional 22K lexical units, a 3-fold increase over the current FrameNet, and achieves 40% better coverage when evaluated in a prac-tical setting on New York Times data.",
author = "Ellie Pavlick and Travis Wolfe and Pushpendre Rastogi and Chris Callison-Burch and Mark Dredze and {Van Durme}, Benjamin",
note = "Publisher Copyright: {\textcopyright} 2015 Association for Computational Linguistics.; 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL-IJCNLP 2015 ; Conference date: 26-07-2015 Through 31-07-2015",
year = "2015",
doi = "10.3115/v1/p15-2067",
language = "English (US)",
series = "ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "408--413",
booktitle = "ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference",
address = "United States",
}