Invited Speakers

Haim completed his PhD in computational linguistics from the Hebrew University of Jerusalem, and is now a research fellow in the Language Technology Lab at the University of Cambridge. Haim applies computational and analytical methods to study a range of linguistic phenomena. His work heralded the new and emerging field of computational semantic change, and focused on the underlying factors that drive semantic change, as well as on evaluation issues. In addition, Haim contributed to the problem of model debiasing in both polysemy and Natural Language Inference tasks. Haim’s most recent work extends the traditional view of distributional semantic change models (e.g., word embeddings), and suggests new ways to study these using spectral analysis.

Ellie Pavlick is currently Manning Assistant Professor of Computer Science at Brown University. She received her PhD from University of Pennsylvania in 2017, where her focus was on paraphrasing and lexical semantics. Ellie’s current research is on cognitively-inspired approaches to language acquisition, focusing on grounded language learning and on the emergence of structure in neural language models. Ellie leads the language understanding and representation (LUNAR) lab, which collaborates with Brown’s Robotics and Visual Computing labs and with the Department of Cognitive, Linguistic, and Psychological Sciences.

Website: https://cs.brown.edu/people/epavlick/