A database for modal semantic typology
Guo, Q. Imel, N., and Steinert-Threlkeld, S. (2022). "A database for modal semantic typology." Proceedings of the 4th Workshop on Computational Typology and Multilingual NLP (SIGTYP 2022). pp 42-51.
CV
Education
- B.A. in Philosophy, University of California, San Diego, 2020
- M.S. in Computational Linguistics, University of Washington, 2022
- Ph.D in Logic and Philosophy of Science, University of California, Irvine, 2028 (expected)
Publications
A semantic universal for modality
Steinert-Threlkeld, S., Imel, N., & Guo, Q. (2023). "A semantic universal for modality." Semantics and Pragmatics, 16, 1:EA-1:EA.
Modal semantic universals optimize the simplicity/informativeness trade-off
Imel, N. and Steinert-Threlkeld, S. (2022). "Modal semantic universals optimize the simplicity/informativeness tradeoff." Proceedings of Semantics and Linguistic Theory 32.
The evolution of efficient compression in signaling games
Imel, N. (2023). "The evolution of efficient compression in signaling games." Proceedings of the 45th Annual Meeting of the Cognitive Science Society.
Noisy population dynamics lead to efficiently compressed semantic systems
Imel, N., & Futrell, R., & Franke, M., & Zaslavsky, N. (2023). "Noisy population dynamics lead to efficiently compressed semantic systems." NeurIPS 2023 Workshop on Information-Theoretic Principles in Cognitive Systems.
Citation-similarity relationships in astrophysics literature
Imel, N., & Hafen-Saavedra, Z. (2023). "Citation-similarity relationships in astrophysics literature." NeurIPS 2023 Workshop on AI for Scientific Discovery: From Theory to Practice.
Talks
Modals in natural language optimize the simplicity/informativeness trade-off
Poster at Experiments in Linguistic Meaning 2, Philadelphia, PA
Modals in natural language optimize the simplicity/informativeness trade-off
Talk at Semantics and Linguistic Theory 32, Mexico City, Mexico
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Service and leadership
- Currently signed in to 43 different slack teams –>
Awards
- North American Summer School for Logic, Language and Information NASSLLI Student Grant 2022
- Accepted to Lisbon Machine Learning Summer School LxMLS 2021
- Accepted to Carnegie Mellon University Summer School in Logic and Formal Epistemology LFE 2021
- Best paper “Desire Semantics”, selected for UC San Diego undergraduate philosophy journal Intuitions 2020
Work Experience
- Summer 2021: NLP Research Intern
- Posh Technologies
- Duties included: machine learning research and dataset curation for conversational AI.
- Supervisor: Rishi Sharma