Our Sponsors/Partners/Funding

NSF CAREER Award: CAREER: Multilingual Learning for Event Structures from Text (2023-2028, $582,177)

We develop novel multilingual datasets and transfer learning methods for information extraction in natural language processing.

IARPA HIATUS Program: Human Interpretable Attribution of Text using Underlying Structure (2022-2026, $583,776)

We develop novel representation learning methods for authorship attribution, privacy preservation, and model explainability.

Army Research Office (ARO): Boosting and Extending Event Extraction using Interaction Structures from Texts (2021-2024, $353,430)

We develop novel methods to induce text structures to improve the performance, robustness, and flexibility of event extraction systems.

NSF Industry-University Cooperative Research Centers Program (IUCRC): University of Oregon: Center for Big Learning (CBL), Phase I, (2018-2023, $749,998)

Our CBL consortium focuses on the development of large-scale deep learning algorithms (DL) and DL-enabled big data applications in a broad spectrum of disciplines (i.e., healthcare, science, security, and education).

IARPA BETTER Program: Better Extraction from Text Towards Enhanced Retrieval (2019-2023, $439,458)

We develop state-of-the-art multilingual methods for information extraction that can perform event extraction for multiple languages with increasing fine-grained event types and argument roles.