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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
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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.
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces
Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani𝜎 Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Christopher Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld. Communications of the ACM, Volume 67, Issue 10, 2024.
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models
Carlos Aguirre, Kuleen Sasse, Isabel Cachola, Mark Dredze. The Third Workshop on NLP for Positive Impact at EMNLP, 2024.
Knowledge-Centric Templatic Views of Documents
Isabel Cachola, Silviu Cucerzan, Allen Herring, Vuksan Mijovic, Erik Oveson, Sujay Kumar Jauhar. Conference on Empirical Methods in Natural Language Processing Findings (EMNLP), 2024.
Making FETCH! Happen: Finding Emergent Dog Whistles Through Common Habitats
Kuleen Sasse, Carlos Aguirre, Isabel Cachola, Sharon Levy, Mark Dredze. ArXiv:2412.12072, 2024.
talks
Talk 1 on Relevant Topic in Your Field
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teaching
HEART: Computers As Authors
Undergraduate seminar 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.
Artificial Intelligence
Undergraduate and graduate course, Johns Hopkins University, 2024
This course provides a broad introduction to artificial intelligence, its subfields and their applications. Topics include problem-solving approaches, problem spaces and search. planning, probabilistic models, games, multiagent systems, and learning. The class is a recommended for all scientists and engineers with a genuine curiosity about the fundamental obstacles to getting machines to perform tasks such as deduction, learning, and planning and navigation.
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