I am a second year PhD student in Computer Science at The University of Texas at Austin, working with Greg Durrett and Katrin Erk. I am broadly interested in natural language processing and computational semantics.
Before joining the PhD program, I worked on applied NLP research at Applied Research Laboratories, The University of Texas at Austin. Before that, I obtained a Masters in Computational Science, Engineering and Mathematics from UT Austin and a BA in Mathematics from Pomona College.
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs
Juan Diego Rodriguez, Katrin Erk, and Greg Durrett. arXiv preprint 2023.
WiCE: Real-World Entailment for Claims in Wikipedia
Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, and Greg Durrett. arXiv preprint 2023.
Cross-Domain Detection of GPT-2-Generated Technical Text
Juan Diego Rodriguez, Todd Hay, David Gros, Zain Shamsi, and Ravi Srinivasan. NAACL 2022.
Reusable Templates and Guides for Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards
McMillan-Major, Angelina, Salomey Osei, Juan Diego Rodriguez, Pawan Sasanka Ammanamanchi, Sebastian Gehrmann, and Yacine Jernite. Proceedings of the 1st Workshop of Natural Language Generation, Evaluation, and Metrics (GEM 2021).
Leveraging WordNet Paths for Neural Hypernym Prediction
Yejin Cho, Juan Diego Rodriguez, Yifan Gao, and Katrin Erk. COLING 2020.
Transfer Learning for Entity Recognition of Novel Classes
Juan Diego Rodriguez, Adam Caldwell, and Alex Liu. COLING 2018 (Area Chair Favorite)
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