@inproceedings{def5ad1893ac490f89a503a8cdd05148,
title = "Gathering and Generating Paraphrases from Twitter with Application to Normalization",
abstract = "We present a new and unique paraphrase resource, which contains meaningpreserving transformations between informal user-generated text. Sentential paraphrases are extracted from a comparable corpus of temporally and topically related messages on Twitter which often express semantically identical information through distinct surface forms. We demonstrate the utility of this new resource on the task of paraphrasing and normalizing noisy text, showing improvement over several state-of-the-art paraphrase and normalization systems 1.",
author = "Wei Xu and Alan Ritter and Ralph Grishman",
note = "Funding Information: This research was supported in part by NSF grant IIS-0803481, ONR grant N00014-08-1-0431, and DARPA contract FA8750-09-C-0179. Publisher Copyright: {\textcopyright} 2013 Proceedings of the Annual Meeting of the Association for Computational Linguistics. All rights reserved.; 6th Workshop on Building and Using Comparable Corpora, BUCC 2013 at the 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 ; Conference date: 08-08-2013",
year = "2013",
language = "English (US)",
series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "121--128",
editor = "Serge Sharoff and Pierre Zweigenbaum and Reinhard Rapp and Reinhard Rapp",
booktitle = "6th Workshop on Building and Using Comparable Corpora, BUCC 2013 at the 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 - Proceedings",
}