Our society is globally connected, but language barriers prevent deeper connections and mutual understanding. To break these barriers, my research group works on multilingual natural language processing (NLP) systems that understand and generate human language. Progress in NLP requires advances in machine learning, computer science, and linguistics. We are interested in many basic research problems in these fields.

Recent Highlights

Detecting negation scope is easy, except when it isn't
Federico Fancellu, Adam Lopez, Bonnie Webber and Hangfeng He. In Proceedings of EACL, 2017.
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Towards speech-to-text translation without speech recognition
Sameer Bansal, Adam Lopez, Herman Kamper, and Sharon Goldwater. In Proceedings of EACL, 2017.
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Weakly supervised spoken term discovery using cross-lingual side information
Sameer Bansal, Herman Kamper, Sharon Goldwater, and Adam Lopez. In Proceedings of ICASSP, 2017.
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Evaluating informal-domain word representations with UrbanDictionary
Naomi Saphra and Adam Lopez. In Proceedings of RepEval, 2016.
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N-gram language models for massively parallel devices
Nikolay Bogoychev and Adam Lopez. In Proceedings of ACL, 2016.
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Neural networks for negation scope detection
Federico Fancellu, Adam Lopez, and Bonnie Webber. In Proceedings of ACL, 2016.
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AMRICA: an AMR Inspector for Cross-language Alignments
Naomi Saphra and Adam Lopez. In NAACL-HLT Demonstrations, 2015.
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