I'm a computer science graduate student in the Center for Language and Speech Processing (CLSP) at Johns Hopkins University, where I am advised by Philipp Koehn and Mark Dredze. I'm also the contest site coordinator for the North American Computational Linguistics Olympiad (NACLO) at JHU (see our JHU NACLO website for site-specific information).
3400 N Charles Street
Baltimore, MD 21218
rknowles at jhu.edu
Six Challenges for Neural Machine Translation, Philipp Koehn and Rebecca Knowles, 1st Workshop on Neural Machine Translation, 2017. [pdf, bib]
A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax, Christo Kirov, John Sylak-Glassman, Rebecca Knowles, Ryan Cotterell, and Matt Post, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2017. [pdf, bib]
Neural Interactive Translation Prediction, Rebecca Knowles and Philipp Koehn, Proceedings of the Conference of the Association for Machine Translation in the Americas (AMTA), 2016. [pdf, bib, slides]
Demographer: Extremely Simple Name Demographics, Rebecca Knowles, Josh Carroll, and Mark Dredze, EMNLP Workshop on Natural Language Processing and Computational Social Science, 2016. [pdf, bib]
Analyzing Learner Understanding of Novel L2 Vocabulary, Rebecca Knowles, Adithya Renduchintala, Philipp Koehn, and Jason Eisner, Conference on Computational Natural Language Learning (CoNLL), 2016. [pdf, bib, slides]
User Modeling in Language Learning with Macaronic Texts, Adithya Renduchintala, Rebecca Knowles, Philipp Koehn and Jason Eisner, Annual Meeting of the Association for Computational Linguistics (ACL), 2016. [pdf, bib]
Creating Interactive Macaronic Interfaces for Language Learning, Adithya Renduchintala, Rebecca Knowles, Philipp Koehn and Jason Eisner, System Description, Annual Meeting of the Association for Computational Linguistics (ACL), 2016. [pdf, bib]
High Risk Pregnancy Prediction from Clinical Text, Rebecca Knowles, Mark Dredze, Kathleen Evans, Elyse Lasser, Tom Richards, Jonathan Weiner, and Hadi Kharrazi, Workshop on Machine Learning for Clinical Data Analysis (NIPS), 2014.[pdf, bib]
I'm a Belieber: Social Roles via Self-identification and Conceptual Attributes, Charley Beller, Rebecca Knowles, Craig Harman, Shane Bergsma, Margaret Mitchell and Benjamin Van Durme, Annual Meeting of the Association for Computational Linguistics (ACL), 2014. [pdf, bib]
Topic Models and Metadata for Visualizing Text Corpora, Justin Snyder, Rebecca Knowles, Mark Dredze, Matthew R. Gormley and Travis Wolfe, North American Chapter of the Association for Computational Linguistics (NAACL) (Demo Paper), 2013. [pdf, bib]
This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. 1232825. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.