110 citations · 171 across the 12 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.CL2021
Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models
Yiwen Wang, Jennifer Hu, Roger Levy +1
Prior work has shown that structural supervision helps English language models learn generalizations about syntactic phenomena such as subject-verb agreement. However, it remains u…
cs.CL2021
Structural Guidance for Transformer Language Models
Peng Qian, Tahira Naseem, Roger Levy +1
Transformer-based language models pre-trained on large amounts of text data have proven remarkably successful in learning generic transferable linguistic representations. Here we s…
cs.CL2021
What if This Modified That? Syntactic Interventions via Counterfactual Embeddings
Mycal Tucker, Peng Qian, Roger Levy
Neural language models exhibit impressive performance on a variety of tasks, but their internal reasoning may be difficult to understand. Prior art aims to uncover meaningful prope…