CV
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Education
- Ph.D, Computer Science, Northeastern University, 2026 (expected)
- B.S., Computer Science, University of Maryland Baltimore County, 2020
- B.S., Mathematics, University of Maryland Baltimore County, 2020
Work experience
- Summer 2019: Software Engineering Intern
- Google Inc.
- Developed a visualization tool for the Data Studio team
- Summer 2018: Engineering Practicum Intern
- Google Inc.
- Built an internal dashboarding tool for YouTube
- Summer 2017: Research Intern
- Iowa State University
- Designed the UX for a new software for Traffic Incident Managers
Publications
Andrina Helgerson, Jamiahus Walton, Celia Loya, Christopher Kawell, Katherine Atwell, Quinn Monaghan, Lakshay Ahuja, Hesham Hassan, Stephen Gilbert, Anuj Sharma, "Developing an Optimized UI for Traffic Incident Managers." In the proceedings of Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2018.
Katherine Atwell, Junyi Li, Malihe Alikhani, "Where are we in discourse relation recognition?." In the proceedings of Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021.
Katherine Atwell, Anthony Sicilia, Seong Hwang, Malihe Alikhani, "The change that matters in discourse parsing: Estimating the impact of domain shift on parser error." In the proceedings of Findings of the Association for Computational Linguistics: ACL 2022, 2022.
Barea Sinno, Bernardo Oviedo, Katherine Atwell, Malihe Alikhani, Junyi Li, "Political ideology and polarization: A multi-dimensional approach." In the proceedings of Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022.
Sabit Hassan, Katherine Atwell, Malihe Alikhani, "Studying the effect of moderator biases on the diversity of online discussions: A computational cross-linguistic study." In the proceedings of Proceedings of the Annual Meeting of the Cognitive Science Society, 2022.
Anthony Sicilia, Katherine Atwell, Malihe Alikhani, Seong Hwang, "PAC-bayesian domain adaptation bounds for multiclass learners." In the proceedings of Uncertainty in Artificial Intelligence, 2022.
Katherine Atwell, Sabit Hassan, Malihe Alikhani, "Appdia: A discourse-aware transformer-based style transfer model for offensive social media conversations." In the proceedings of Proceedings of the 29th International Conference on Computational Linguistics, 2022.
Katherine Atwell, Remi Choi, Junyi Li, Malihe Alikhani, "The Role of Context and Uncertainty in Shallow Discourse Parsing." In the proceedings of Proceedings of the 29th International Conference on Computational Linguistics, 2022.
Venkata Govindarajan, Katherine Atwell, Barea Sinno, Malihe Alikhani, David Beaver, Junyi Li, "How people talk about each other: Modeling Generalized Intergroup Bias and Emotion." In the proceedings of Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023.
Meng Ye, Karan Sikka, Katherine Atwell, Sabit Hassan, Ajay Divakaran, Malihe Alikhani, "Multilingual Content Moderation: A Case Study on Reddit." In the proceedings of Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023.
[Combining Discourse Coherence with Large Language Models for More Inclusive, Equitable, and Robust Task-Oriented Dialogue](https://aclanthology.org/2024.lrec-main.314) (Atwell et al., LREC-COLING 2024)
[Generating Signed Language Instructions in Large-Scale Dialogue Systems](https://aclanthology.org/2024.naacl-industry.13) (Inan et al., NAACL 2024)
Katherine Atwell, Danielle Bragg, and Malihe Alikhani. 2024. Studying and Mitigating Biases in Sign Language Understanding Models. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Miami. Association for Computational Linguistics.
Talks
October 04, 2022
Talk at The University of Texas at Austin, Remote
March 23, 2023
Talk at University of Pittsburgh, Pittsburgh, PA
February 08, 2024
Talk at Bilkent University, Zoom
Service and leadership
Conferences and Publications:
- CoNLL Area Chair
- **ACL Rolling Review Ethics Reviewer
- EMNLP Reviewer
- UAI Reviewer
- ACM FAccT Program Committee
- Journal of Educational Data Mining Reviewer
- Workshop on Computational Approaches to Discourse Program Committee
- INLG Reviewer
- SIGDIAL Program Committee
- ACL Reviewer
- AAAI Reviewer
- NAACL Reviewer
University Service:
- Review PhD applications
- Note-taker for faculty interviews
- Mentor undergraduate students
Awards
- 2023 Third place, Alexa Prize TaskBot Challenge
- 2022 Best Paper, Association for Uncertainty in Artificial Intelligence
- 2022 Travel Scholarship, CRA-W Scholarship for Early Career Workshop and the Graduate Cohort
- 2020 Travel Scholarship Grace Hopper
- 2016 Meyerhoff Scholar University of Maryland, Baltimore County