My lab is called NERT. We have fun playing with language data and algorithms.

Prospective advisees

Georgetown has a strong community of computational linguistics researchers. Consider applying in Linguistics and/or Computer Science.
→ Ph.D. application deadlines: Dec. 1 for Linguistics, Dec. 15 (preferred) for CS.

April 2021 Update: If you have some research experience in NLP and would like to work with me on computational semantics/parsing/NLU starting in Fall 2022, please apply to the Ph.D. in Computational Linguistics (Linguistics Dept.) by December 1, 2021. This includes applicants with CS backgrounds. I do not expect to admit any students through the CS Dept. in 2021/2022.

If you want to work with me and are not already a Georgetown student, your best bet is to apply and mention me in your statement of purpose. (Statement of purpose advice) Unfortunately, I do not have room to host visiting students or interns from outside the DC area. I cannot guarantee a response to email inquiries from prospective students or visitors.

If you're already a Georgetown student, come talk to me about your research interests and ideas!

Past advisees

At Georgetown, I co-supervised the following theses:

  • Julia Hockett (senior thesis, CS, 2017), “Detecting and Using Buzz from Newspapers to Understand Patterns of Movement” (with Lisa Singh)

At the University of Edinburgh, I co-supervised the following MSc theses:

  • Marco Damonte (2015), “Machine Translation with Coarse Lexical Semantics” (with Alexandra Birch)
  • Nora Hollenstein (2015), “Inconsistency Detection in Semantic Annotation” (with Bonnie Webber)
  • Ye Yang (2015), “Recognizing Annotator Behavior in Crowdsourcing” (with Bonnie Webber)
  • Felisia Loukou (2016), “Light Verb Constructions in Distributional Entailment Graphs” (with Mark Steedman)
  • Ida Szubert (2016), “Methods for Automatic Alignment of Abstract Meaning Representation and Dependency Grammar” (with Adam Lopez)