LIN14: Computational Cognitive Models of Meaning
About
We study and develop cognitively plausible computational representations of linguistic meaning and algorithms to process those representations.
Open to New People
Active since: 2021
- Cornell University
- University of Rochester
Collaborative Goals
Our primary goal is to share information and develop research collaborations between research groups in central NY that study linguistic meaning using computational and experimental methods, especially those that focus on events as a central conceptual framework.
To this end, we organize an annual workshop, which enables all participants to discuss ongoing work in this area, provides a venue for students to network with their peers, and facilitates collaboration between students and faculty in the region.
Group Organizers
Group Members
- Aaron Steven White, Associate Professor, University of Rochester
- Marten van Schijndel, Assistant Professor, Cornell University
- Stephanie N. Richter, Graduate Student, University of Rochester
- Angela Cao, Graduate Student, University of Rochester
- Claire Sun, Graduate Student, University of Rochester
- Pavlo Kuchmiichuk, Graduate Student, University of Rochester
- Woo Jin Choi, Graduate Student, University of Rochester
- Chihsheng Jin, Graduate Student, University of Rochester
- Varad Thikekar, Graduate Student, University of Rochester
- Leon Zong, Graduate Student, University of Rochester
- John R. Starr, Graduate Student, Cornell University
- Ashlyn Winship, Graduate Student, Cornell University
- Zander Lynch, Graduate Student, Cornell University
- Jacob Matthews, Graduate Student, Cornell University
- Lucas Y. Li, Graduate Student, Cornell University
- Kihyo Park, Graduate Student, Cornell University
- Kaelyn Lamp, Graduate Student, Cornell University
- Fangcong Yin, Graduate Student, Cornell University
Activities
Workshop on Processing and Evaluating Event Representations
April 18, 2025, 9 a.m.
Workshop on Processing and Evaluating Event Representations
March 29, 2024, 8:30 a.m.
Processing and Evaluating Event Representations
March 31, 2023, 9 a.m.