Problems in Current Text Simplification Research: New Data Can Help by Wei Xu, Chris Callison-Burch, Courtney Napoles

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Towards Faithful Model Explanation in NLP: A Survey by Qing Lyu, Marianna Apidianaki, Chris Callison-Burch

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Optimizing Statistical Machine Translation for Text Simplification by Wei Xu, Courtney Napoles, Ellie Pavlick, Quanze Chen, Chris Callison-Burch

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Extracting Lexically Divergent Paraphrases from Twitter by Wei Xu, Alan Ritter, Chris Callison-Burch, William B. Dolan, Yangfeng Ji

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Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT by Kathryn Baker, Michael Bloodgood, Bonnie J. Dorr, Chris Callison-Burch, Nathaniel W. Filardo, Christine Piatko, Lori Levin, Scott Miller

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Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT by Adam Lopez, Matt Post, Chris Callison-Burch, Jonathan Weese, Juri Ganitkevitch, Narges Ahmidi, Olivia Buzek, Leah Hanson, Beenish Jamil, Matthias Lee, Ya-Ting Lin, Henry Pao, Fatima Rivera, Leili Shahriyari, Debu Sinha, Adam Teichert, Stephen Wampler, Michael Weinberger, Daguang Xu, Lin Yang, Shang Zhao

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