Isabel Cachola

According to our database, Isabel Cachola authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Knowledge-Centric Templatic Views of Documents.

Isabel Cachola, Silviu Cucerzan, Allen Herring, Vuksan Mijovic, Erik Oveson, Sujay Kumar Jauhar

CoRR, 2024

2023

Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models.

Carlos Aguirre, Kuleen Sasse, Isabel Cachola, Mark Dredze

CoRR, 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 B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld

CoRR, 2023

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

CoRR, 2023

2022

Model Distillation for Faithful Explanations of Medical Code Predictions.

Zach Wood-Doughty, Isabel Cachola, Mark Dredze

Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

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

CoRR, 2021

Faithful and Plausible Explanations of Medical Code Predictions.

Zach Wood-Doughty, Isabel Cachola, Mark Dredze

CoRR, 2021

Proxy Model Explanations for Time Series RNNs.

Zach Wood-Doughty, Isabel Cachola, Mark Dredze

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

SciA11y: Converting Scientific Papers to Accessible HTML.

Lucy Lu Wang, Isabel Cachola, Jonathan Bragg, Evie Yu-Yen Cheng, Chelsea Haupt, Matt Latzke, Bailey Kuehl, Madeleine N. van Zuylen, Linda Wagner, Daniel S. Weld

Proceedings of the ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility, 2021

Explaining Relationships Between Scientific Documents.

Kelvin Luu, Xinyi Wu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Citation Text Generation.

Kelvin Luu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith

CoRR, 2020

TLDR: Extreme Summarization of Scientific Documents.

Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2018

Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions.

Eric Holgate, Isabel Cachola, Daniel Preotiuc-Pietro, Junyi Jessy Li

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media.

Isabel Cachola, Eric Holgate, Daniel Preotiuc-Pietro, Junyi Jessy Li

Proceedings of the 27th International Conference on Computational Linguistics, 2018