10 citations · 16 across the 8 of their papers we have counts for
11 papers
On the data requirements of probing
Zining Zhu, Jixuan Wang, Bai Li +1
As large and powerful neural language models are developed, researchers have been increasingly interested in developing diagnostic tools to probe them. There are many papers with c…
Neural reality of argument structure constructions
Bai Li, Zining Zhu, Guillaume Thomas +2
In lexicalist linguistic theories, argument structure is assumed to be predictable from the meaning of verbs. As a result, the verb is the primary determinant of the meaning of a c…
What do writing features tell us about AI papers?
Zining Zhu, Bai Li, Yang Xu +1
As the numbers of submissions to conferences grow quickly, the task of assessing the quality of academic papers automatically, convincingly, and with high accuracy attracts increas…
How is BERT surprised? Layerwise detection of linguistic anomalies
Bai Li, Zining Zhu, Guillaume Thomas +2
Transformer language models have shown remarkable ability in detecting when a word is anomalous in context, but likelihood scores offer no information about the cause of the anomal…
TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction
Bai Li, Frank Rudzicz
Eye movement data during reading is a useful source of information for understanding language comprehension processes. In this paper, we describe our submission to the CMCL 2021 sh…
Evolution of Part-of-Speech in Classical Chinese
Bai Li
Classical Chinese is a language notable for its word class flexibility: the same word may often be used as a noun or a verb. Bisang (2008) claimed that Classical Chinese is a preca…