Jimena Guallar-Blasco

NLP and AI @ Charles River Analytics

About Me | CV | Explorations | For Fun

Logo

About Me

Jimena is a Research Scientist in the Human-Centered AI division of Charles River Analytics, a Boston-based AI company focused on human-driven intelligent systems. Previously, Jimena was a Research Associate at the Human Language Technology Center of Excellence, an independent research center associated with Johns Hopkins University (JHU). Jimena graduated from the JHU Whiting School of Engineering with a Bachelors of Science and a Masters of Science in Engeering in May of 2024. While at JHU, Jimena studied Computer Science and Linguistics and conducted research as a Research Assistant at the JHU Center for Language and Speech Processing. Her primary research interest is using natural language processing and computational semantics techniques to solve complex problems in multimodal settings.

Publications

1. Kriz, R., Sanders, K., Etter, D., Murray, K., Carpenter, C., Ochten, K.V., Recknor, H., Guallar-Blasco, J., Martin, A., Colaianni, R., King, N., Yang, E., & Van Durme, B. "MultiVENT 2.0: A Massive Multilingual Benchmark for Event-Centric Video Retrieval", arXiv, 2024.

2. Stengel-Eskin, E., Guallar-Blasco, J., Zhou, Y., & Van Durme, B. “Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA”, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 2023.

3. Guallar-Blasco, J., Stengel-Eskin, E., & Van Durme, B., “Analyzing Question Ambiguity in Why-Questions” (2023), Mid-Atlantic Student Colloquium on Speech, Language and Learning (MASC-SLL 2023) ∗Abstract

4. Stengel-Eskin, E., Guallar-Blasco, J., & Van Durme, B. “Human-Model Divergence in the Handling of Vagueness”, in Proceedings of the 1st Workshop on Understanding Implicit and Underspecified Language, Online: Association for Computational Linguistics, 2021.

5. Stengel-Eskin, E., Guallar-Blasco, J., & Van Durme, B. “Exploring Human-Model Divergence Through Vagueness”, Proceedings of the Society for Computation in Linguistics, 2021, *Abstract.