LIN14 Computational Cognitive Models of Meaning
We study and develop cognitively plausible computational representations of linguistic meaning and algorithms to process those representations.
Active since: 2021
- University of Rochester
- Cornell University
1) Develop models of meaning to accurately reflect human judgments of
meaning in different contexts.
2) Develop algorithms to incrementally process meaning that can predict human behavior during language processing (e.g,. reading times, eye movements, cloze predictions, response times).
We anticipate that this work will lead to better understanding of language use and better predictions of human behavior.
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