Tal Linzen
Google (United States)(US)
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Text Readability and Simplification, Neurobiology of Language and Bilingualism, Speech and dialogue systems
Most-Cited Works
- → Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference(2019)905 cited
- → Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies(2016)776 cited
- → Targeted Syntactic Evaluation of Language Models(2018)354 cited
- → COGS: A Compositional Generalization Challenge Based on Semantic Interpretation(2020)149 cited
- → Syntactic Data Augmentation Increases Robustness to Inference Heuristics(2020)147 cited
- → Uncertainty and Expectation in Sentence Processing: Evidence From Subcategorization Distributions(2015)137 cited
- → In Spoken Word Recognition, the Future Predicts the Past(2018)122 cited
- → BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance(2020)104 cited
- → Probing What Different NLP Tasks Teach Machines about Function Word Comprehension(2019)95 cited