Sathvik in Singapore for EMNLP
December 05, 2023

On surprisal in reading subwords.
December 6-10, Sathvik Nair is in Singapore for the Empirical Methods in Natural Language Processing conference, where he will present "Words, Subwords, and Morphemes: What Really Matters in the Surprisal-Reading Time Relationship?," joint work with Philip Resnik. Alongside Sathvik's poster will be several other presentations involving Maryland alums Aaron Steven White *15 (Rochester) and Allyson Ettinger *18 (Allen Institute for AI), plus former CS undergrad Chenglei Si and his advisor Jordan Boyd-Graber. Allyson is also leading a workshop on broader NLP research narratives.
- Sathvik Nair and Philip Resnik / Words, subwords and morphemes: What really matters in the surprisal-reading time relationship?
- Chenghao Yang and Allyson Ettinger / Can you follow me? Testing situational understanding for ChatGPT
- Allyson Ettinger Jena D. Hwang, Valentina Pyatkin, Chandra Bhagavatula and Yejin Choi / You are an expert linguistic annotator: Limits of LLMs as analyzers of absract meaning representation
- William Gantt, Reno Kriz, Yunmo Chen, Siddarth Vashishtha and Aaron Steven White / On event individuation for document-level information extraction
- Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White and Benjamin Van Durme / A unified view of evaluation metrics for structured prediction
- Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer and Jordan Lee Boyd-Graber / Getting MoRE out of mixture of language model reasoning experts