LIN14: Computational Cognitive Models of Meaning
About
We study and develop cognitively plausible computational representations of linguistic meaning and algorithms to process those representations.
Active since: 2021
Closed Group of Collaborators
- University of Rochester
- Cornell University
Collaborative Goals
Our goals were to discuss the various ongoing projects in each group to provide a venue for students to network with their peers and to facilitate collaboration. We were successful in meeting our goals. We had a great meeting with several interesting presentations, and we designed pilot studies to run during this next year.
Group Organizers


Group Members
- Hannah An, PhD Student, University of Rochester
- Helena Aparicio, Assistant Professor, Linguistics, Cornell University
- Anna Choi, PhD Student, Cornell University
- Thomas Darnell, Graduate Student, Cornell University
- Forrest Davis, PhD Student, Cornell University
- Jin Dou, PhD Student, University of Rochester
- William Gantt, PhD Student, University of Rochester
- Tristan Herwood, Graduate Student, Cornell University
- Cella Kove, Student, Cornell University
- Kaelyn Lamp, PhD Student, Cornell University
- Vinh Nguyen, Student, Cornell University
- Cindy Qin, PhD Student, Cornell University
- Stephanie Richter, PhD Student, University of Rochester
- John Starr, PhD Student, Cornell University
- Jack Valinsky, Graduate Student, University of Rochester
- Constanza Aceves-Rodriguez, PhD Student, University of Rochester
Non Corridor Members
- Kihyo Park, Graduate Student, Konkuk University
- Elias Stengel-Eskin, PhD Student, John Hopkins University
Activities
Workshop on Computational Meaning Representations
April 1, 2022, 10 a.m.
Group Outcomes
- Our students were able to build up their peer networks.
- We discussed several possible future collaborations. Some of these involved collecting data in other countries, such as South Korea and India. We have begun pilot studies to develop the research infrastructure to collect data in those countries and collect pilot results for those collaborations.
- We plan to use this infrastructure to support applications for external funding in future years.