About Me

I am a PhD Candidate in Computational Linguistics at the University of Washington.

My primary research interests are in precision grammars and endangered languages. Specifically, I am interested in creating tools that streamline the process of creating syntactically grounded, machine readable grammars, so that documentary linguists can test their analyses over corpora. I am a member of the Grammar Matrix and AGGREGATION projects. The former is a toolkit for automatically creating grammars based on a user's responses to a web-based questionnaire. The latter attempts to infer the responses to the questionnaire from Interlinear Glossed Text (IGT) data.

My dissertation focuses on grammar inference, and uses a wide range of typologically diverse languages for evaluation.

I am also interested in NLP for low-resource languages and low-resource domains, such as biomedical NLP.

Publications

Google Scholar Profile
ACL Anthology Profile

[To Appear]
Zamaraeva, Olga, Kristen Howell and Emily M. Bender. 2019. Handling Cross-cutting Properties in Automatic Inference of Lexical Classes: A Case Study of Chintang. In Proceedings of ComputEL-2: 2nd Workshop on Computational Methods for Endangered Languages, ICLDC 2019, Honolulu Hawai`i.

[2019]
Zamaraeva, Olga, Kristen Howell and Emily M. Bender. 2019. Modeling Clausal Complementation for a Grammar Engineering Resource. In proceedings of the Society for Computation in Linguistics Vol. 2, Article 6.

[2018]
Howell, Kristen, Olga Zamaraeva, and Emily M. Bender. 2018. Nominalized Clauses in the Grammar Matrix. In Müller, Stefan and Frank Richter, eds. Proceedings of the 25th International Conference on Head-Driven Phrase Structure Grammar, pp.68-88. University of Tokyo.

Howell, Kristen and Olga Zamaraeva. 2018. Clausal Modifiers in the Grammar Matrix. In proceedings of the 27th International Conference on Computational Linguistics COLING 2018, Santa Fe, New Mexico.

Zamaraeva, Olga, Kristen Howell and Adam Rhine. 2018. Improving Feature Extraction for Pathology Reports Classification with Precise Negation Scope Detection. In proceedings of the 27th International Conference on Computational Linguistics COLING 2018, Santa Fe, New Mexico.

[2017]
Levow, Gina-Anne, Emily M. Bender, Patrick Littell, Kristen Howell, Shobhana Chelliah, Joshua Crowgey, Dan Garrette, Jeff Good, Sharon Hargus, David Inman, Michael Maxwell, Michael Tjalve, and Fei Xia. 2017. STREAMLInED Challenges: Aligning Research Interests with Shared Tasks. In Proceedings of ComputEL-2: 2nd Workshop on Computational Methods for Endangered Languages, ICLDC 2017, Honolulu Hawai`i.

Howell, Kristen, Emily M. Bender, Michael Lockwood, Fei Xia and Olga Zamaraeva. 2017. Inferring Case Systems from IGT: Impacts and Detection of Variable Glossing Practices. In Proceedings of ComputEL-2: 2nd Workshop on Computational Methods for Endangered Languages, ICLDC 2017, Honolulu Hawai`i.

Zamaraeva, Olga, František Kratochvíl, Emily M. Bender, Fei Xia and Kristen Howell. 2017. Computational Support for Finding Word Classes: A Case Study of Abui. In Proceedings of ComputEL-2: 2nd Workshop on Computational Methods for Endangered Languages, ICLDC 2017, Honolulu Hawai`i.

Teaching

Instructor
Linguistics 473: Basics For Computational Linguistics, University of Washington, Summer 2018.
Linguistics 400: Survey of Linguistic Method and Theory, University of Washington, Summer 2017.

Teaching Assistant
Linguistics 566: Introduction to Syntax for Computational Linguistics, University of Washington, Autumn 2017, Winter 2019.
Linguistics 100: Fundamentals of Grammar, University of Washington, Winter 2017.
Linguistics 200: Introduction to Linguistic Thought, University of Washington, Autumn 2016.