activity
20162022
most citedSyntactic Structure from Deep Learning

125 citations · 292 across the 18 of their papers we have counts for

collaborators

32 papers

cs.CL2021

Frequency Effects on Syntactic Rule Learning in Transformers

Jason Wei, Dan Garrette, Tal Linzen +1

Pre-trained language models perform well on a variety of linguistic tasks that require symbolic reasoning, raising the question of whether such models implicitly represent abstract…

cs.CL2021

NOPE: A Corpus of Naturally-Occurring Presuppositions in English

Alicia Parrish, Sebastian Schuster, Alex Warstadt +5

Understanding language requires grasping not only the overtly stated content, but also making inferences about things that were left unsaid. These inferences include presupposition…

cs.CL20211 cited

Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models

Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann +3

Targeted syntactic evaluations have demonstrated the ability of language models to perform subject-verb agreement given difficult contexts. To elucidate the mechanisms by which the…

cs.CL2021

Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction

Shauli Ravfogel, Grusha Prasad, Tal Linzen +1

When language models process syntactically complex sentences, do they use their representations of syntax in a manner that is consistent with the grammar of the language? We propos…

cs.CL2021

Does Putting a Linguist in the Loop Improve NLU Data Collection?

Alicia Parrish, William Huang, Omar Agha +7

Many crowdsourced NLP datasets contain systematic gaps and biases that are identified only after data collection is complete. Identifying these issues from early data samples durin…

cs.CL2020

COGS: A Compositional Generalization Challenge Based on Semantic Interpretation

Najoung Kim, Tal Linzen

Natural language is characterized by compositionality: the meaning of a complex expression is constructed from the meanings of its constituent parts. To facilitate the evaluation o…