Hello! I recently graduated with a Master of Science in Computer Science at Stanford University. I am now at the University of Colorado, where I am an instructor in the Computer Science department.While I was at Stanford, I worked in the Natural Language Processing group and the Literary Lab with Dan Jurafsky and Mark Algee-Hewitt.
When I'm not riding my bicycle, I do research involving language, literature, and computers.
I enjoy bold colors, square corners, serif fonts, and oxford commas. Not everyone does and I'm okay with that.
Dialogism (includes data, and will include the accompanying tool and tutorial (coming soon, contact me for details))
QuoteLi3 (includes data, annotation tool, and attribution code)
Grace Muzny, Mark Algee-Hewitt and Dan Jurafsky. 2017. Dialogism in the novel: A computational model of the dialogic nature of narration and quotations. Digital Scholarship in the Humanities. Data bib
Grace Muzny, Michael Fang, Angel X. Chang and Dan Jurafsky. 2017. A Two-stage Sieve Approach to Quote Attribution. In Proceedings of the European Chapter of the Association for Computational Linguistics (EACL), Valencia, Spain. Data Tools bib
Grace Muzny, Mark Algee-Hewitt, and Dan Jurafsky. 2016. The Dialogic Turn and the Performance of Gender: the English Canon 1782-2011. In Digital Humanities 2016: Conference Abstracts. Jagiellonian University & Pedagogical University, Kraków, pp. 296-299. bib
Grace Muzny and Luke Zettlemoyer. 2013. Automatic Idiom Identification in Wiktionary. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Seattle, USA. Data Code bib
Kate Starbird, Grace Muzny, and Leysia Palen. 2012. Learning from the Crowd: Collaborative Filtering Techniques for Identifying On-the-Ground Twitterers during Mass Disruptions. Accepted to the 2012 Information Systems for Crisis Response and Management (ISCRAM), Vancouver, Canada. bib
Looking for more information? Look no further, simply send me an email!