65 citations · 204 across the 21 of their papers we have counts for
4 papers · 1 filter
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
Bertie Vidgen, Tristan Thrush, Zeerak Waseem +1
We present a human-and-model-in-the-loop process for dynamically generating datasets and training better performing and more robust hate detection models. We provide a new dataset…
Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization
Tristan Thrush, Ethan Wilcox, Roger Levy
Previous studies investigating the syntactic abilities of deep learning models have not targeted the relationship between the strength of the grammatical generalization and the amo…
ANLIzing the Adversarial Natural Language Inference Dataset
Adina Williams, Tristan Thrush, Douwe Kiela
We perform an in-depth error analysis of Adversarial NLI (ANLI), a recently introduced large-scale human-and-model-in-the-loop natural language inference dataset collected over mul…
Compositional Neural Machine Translation by Removing the Lexicon from Syntax
Tristan Thrush
The meaning of a natural language utterance is largely determined from its syntax and words. Additionally, there is evidence that humans process an utterance by separating knowledg…