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Alex Warstadt
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Neural network acceptability judgments
A Warstadt, A Singh, SR Bowman
Transactions of the Association for Computational Linguistics 7, 625--641, 2019
7192019
BLiMP: The benchmark of linguistic minimal pairs for English
A Warstadt, A Parrish, H Liu, A Mohananey, W Peng, SF Wang, ...
Transactions of the Association for Computational Linguistics 8, 377-392, 2020
1552020
Investigating BERT's knowledge of language: five analysis methods with NPIs
A Warstadt, Y Cao, I Grosu, W Peng, H Blix, Y Nie, A Alsop, S Bordia, ...
arXiv preprint arXiv:1909.02597, 2019
882019
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
682022
Are natural language inference models IMPPRESsive? Learning IMPlicature and PRESupposition
P Jeretic, A Warstadt, S Bhooshan, A Williams
arXiv preprint arXiv:2004.03066, 2020
622020
When do you need billions of words of pretraining data?
Y Zhang, A Warstadt, HS Li, SR Bowman
arXiv preprint arXiv:2011.04946, 2020
552020
Learning which features matter: RoBERTa acquires a preference for linguistic generalizations (eventually)
A Warstadt, Y Zhang, HS Li, H Liu, SR Bowman
arXiv preprint arXiv:2010.05358, 2020
492020
Verb argument structure alternations in word and sentence embeddings
K Kann, A Warstadt, A Williams, SR Bowman
arXiv preprint arXiv:1811.10773, 2018
362018
Can neural networks acquire a structural bias from raw linguistic data?
A Warstadt, SR Bowman
arXiv preprint arXiv:2007.06761, 2020
312020
Linguistic analysis of pretrained sentence encoders with acceptability judgments
A Warstadt, SR Bowman
arXiv preprint arXiv:1901.03438, 2019
26*2019
What ingredients make for an effective crowdsourcing protocol for difficult NLU data collection tasks?
N Nangia, S Sugawara, H Trivedi, A Warstadt, C Vania, SR Bowman
arXiv preprint arXiv:2106.00794, 2021
142021
CLiMP: A benchmark for Chinese language model evaluation
B Xiang, C Yang, Y Li, A Warstadt, K Kann
arXiv preprint arXiv:2101.11131, 2021
102021
Does Putting a Linguist in the Loop Improve NLU Data Collection?
A Parrish, W Huang, O Agha, SH Lee, N Nangia, A Warstadt, K Aggarwal, ...
arXiv preprint arXiv:2104.07179, 2021
82021
"Just" don’t ask: Exclusives and potential questions
A Warstadt
Proceedings of Sinn und Bedeutung 24 (2), 373-390, 2020
52020
What artificial neural networks can tell us about human language acquisition
A Warstadt, SR Bowman
Algebraic Structures in Natural Language, 17-60, 2022
42022
What Makes Reading Comprehension Questions Difficult?
S Sugawara, N Nangia, A Warstadt, SR Bowman
arXiv preprint arXiv:2203.06342, 2022
42022
NOPE: A corpus of naturally-occurring presuppositions in English
A Parrish, S Schuster, A Warstadt, O Agha, SH Lee, Z Zhao, SR Bowman, ...
arXiv preprint arXiv:2109.06987, 2021
42021
Right-node wrapping: A combinatory account
A Warstadt
Proceedings for ESSLLI 2015 workshop ‘Empirical advances in Categorial …, 2015
42015
Entailment Semantics Can Be Extracted from an Ideal Language Model
W Merrill, A Warstadt, T Linzen
arXiv preprint arXiv:2209.12407, 2022
22022
Non-resolving responses to polar questions: A revision to the QUD theory of relevance
O Agha, A Warstadt
Proceedings of Sinn und Bedeutung 24 (1), 17-34, 2020
22020
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