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publications
Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media
Area Chair Favorite
Isabel Cachola*, Eric Holgate*, Daniel Preotiuc-Pietro, Jessy Li. Conference on Computational Linguistics (COLING), 2018.
Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions
Eric Holgate, Isabel Cachola, Daniel Preotiuc-Pietro, Jessy Li. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018.
TLDR: Extreme Summarization of Scientific Documents.
Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld. Conference on Empirical Methods in Natural Language Processing Findings (EMNLP), 2020.
Faithful and Plausible Explanations of Medical Code Predictions.
Zach Wood-Doughty*, Isabel Cachola*, Mark Dredze. ArXiv 2104.07894, 2021.
Improving the accessibility of scientific documents: current state, user needs, and a system solution to enhance scientific PDF accessibility for blind and low vision users.
Lucy Lu Wang*, Isabel Cachola*, Jonathan Bragg, Evie Yu-Yen Cheng, Chelsea Haupt, Matt Latzke, Bailey Kuehl, Madeleine van Zuylen, Linda Wagner, Daniel S. Weld. ArXiv 2105.00076, 2021.
Explaining Relationships Between Scientific Documents
Kelvin Luu*, Xinyi Wu*, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP), 2021.
SciA11y: Converting Scientific Papers to Accessible HTML
Best Artifact Award.
Lucy Lu Wang, Isabel Cachola, Jonathan Bragg, Evie (Yu-Yen) Cheng, Chelsea Hess Haupt, Matt Latzke, Bailey Kuehl, Madeleine van Zuylen, Linda M. Wagner, Daniel S. Weld. The 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2021.
Proxy Model Explanations for Time Series RNNs
Zach Wood-Doughty, Isabel Cachola, Mark Dredze. 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021.
Model Distillation for Faithful Explanations of Medical Code Predictions
Zach Wood-Doughty*, Isabel Cachola*, Mark Dredze. BioNLP @ 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022.
The Semantic Scholar Open Data Platform
Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine Van Zuylen, Daniel S. Weld ArXiv:2301.10140, 2023.
talks
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teaching
HEART: Computers As Authors
Undergraduate course, Johns Hopkins University, 2022
Can you imagine a future where novels, news articles, and comedy were written by a program? This course will introduce students to text generation from the field of natural language processing in which we will discuss the methods, their applications and ethical implications. The class will include hands-on interaction with new technology to aid in the understanding of its capabilities and limitations.