Publications

You can also find my articles on my Google Scholar profile.

Grounded, or a good guesser? A per-question balanced dataset to separate blind from grounded models for embodied question answering

Miles Shelton, Nate Wingerd, Kritim Rijal, Ayush Garg, Adelina Gutic, Brett Barnes, Catherine Finegan-Dollak, "Grounded, or a good guesser? A per-question balanced dataset to separate blind from grounded models for embodied question answering." Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025.
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WEyeDS: A desktop webcam dataset for gaze estimation

Anatolii Evdokimov, Catherine Finegan-Dollak, Arryn Robbins, "WEyeDS: A desktop webcam dataset for gaze estimation." Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, 2024.
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GVdoc - Graph-based Visual DOcument Classification

Fnu Mohbat, Mohammed Zaki, Catherine Finegan-Dollak, Ashish Verma, "GVdoc - Graph-based Visual DOcument Classification." Findings of the Association for Computational Linguistics, 2023.
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Increasing the Speed and Accuracy of Data Labeling Through an AI Assisted Interface

Michael Desmond, Michael Muller, Zahra Ashktorab, Casey Dugan, Evelyn Duesterwald, Kristina Brimijoin, Catherine Finegan-Dollak, Michelle Brachman, Aabhas Sharma, Narendra Joshi, Qian Pan, "Increasing the Speed and Accuracy of Data Labeling Through an AI Assisted Interface." 26th International Conference on Intelligent User Interfaces, 2021.
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Layout-Aware Text Representations Harm Clustering Documents by Type

Catherine Finegan-Dollak, Ashish Verma, "Layout-Aware Text Representations Harm Clustering Documents by Type." Proceedings of the First Workshop on Insights from Negative Results in NLP, 2020.
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Label Noise in Context

Michael Desmond, Catherine Finegan-Dollak, Jeff Boston, Matt Arnold, "Label Noise in Context." Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020.
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Improving Text-to-SQL Evaluation Methodology

Catherine Finegan-Dollak, Jonathan Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, Dragomir Radev, "Improving Text-to-SQL Evaluation Methodology." Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018.
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Effective Crowdsourcing for a New Type of Summarization Task

Youxuan Jiang, Catherine Finegan-Dollak, Jonathan Kummerfeld, Walter Lasecki, "Effective Crowdsourcing for a New Type of Summarization Task." Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), 2018.
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Effects of Creativity and Cluster Tightness on Short Text Clustering Performance

Catherine Finegan-Dollak, Reed Coke, Rui Zhang, Xiangyi Ye, Dragomir Radev, "Effects of Creativity and Cluster Tightness on Short Text Clustering Performance." Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2016.
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Sentence simplification, compression, and disaggregation for summarization of sophisticated documents

Catherine Finegan‐Dollak, Dragomir Radev, "Sentence simplification, compression, and disaggregation for summarization of sophisticated documents." Journal of the Association for Information Science and Technology, 2015.
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Content Models for Survey Generation: A Factoid-Based Evaluation

Rahul Jha, Catherine Finegan-Dollak, Ben King, Reed Coke, Dragomir Radev, "Content Models for Survey Generation: A Factoid-Based Evaluation." Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2015.
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