Katherine Atwell

Katherine Atwell

Fifth-year Computer Science PhD student @ Northeastern University

Publications

Studying and Mitigating Biases in Sign Language Understanding Models

Published in In the Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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Recommended citation: 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.

Generating Signed Language Instructions in Large-Scale Dialogue Systems

Published in In the Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track), 2024

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Recommended citation: [Generating Signed Language Instructions in Large-Scale Dialogue Systems](https://aclanthology.org/2024.naacl-industry.13) (Inan et al., NAACL 2024)

Combining Discourse Coherence with Large Language Models for More Inclusive, Equitable, and Robust Task-Oriented Dialogue

Published in In the Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024

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Recommended citation: [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)

Multilingual Content Moderation: A Case Study on Reddit

Published in In the proceedings of Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

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Recommended citation: 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.

How people talk about each other: Modeling Generalized Intergroup Bias and Emotion

Published in In the proceedings of Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

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Recommended citation: 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.

The Role of Context and Uncertainty in Shallow Discourse Parsing

Published in In the proceedings of Proceedings of the 29th International Conference on Computational Linguistics, 2022

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Recommended citation: 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.

Appdia: A discourse-aware transformer-based style transfer model for offensive social media conversations

Published in In the proceedings of Proceedings of the 29th International Conference on Computational Linguistics, 2022

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Recommended citation: 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. http://katherine-atwell.github.io/files/Appdia.pdf

Studying the effect of moderator biases on the diversity of online discussions: A computational cross-linguistic study

Published in In the proceedings of Proceedings of the Annual Meeting of the Cognitive Science Society, 2022

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Recommended citation: 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.

Political ideology and polarization: A multi-dimensional approach

Published in In the proceedings of Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

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Recommended citation: 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. https://aclanthology.org/2022.naacl-main.17.pdf

The change that matters in discourse parsing: Estimating the impact of domain shift on parser error

Published in In the proceedings of Findings of the Association for Computational Linguistics: ACL 2022, 2022

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Recommended citation: 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.

Where are we in discourse relation recognition?

Published in In the proceedings of Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

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Recommended citation: 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. http://katherine-atwell.github.io/files/Where are we in discourse relation recognition_.pdf

Developing an Optimized UI for Traffic Incident Managers

Published in In the proceedings of Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2018

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Recommended citation: 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. https://journals.sagepub.com/doi/epdf/10.1177/1541931218621067