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CLiMP: A Benchmark for Chinese Language Model Evaluation
Linguistically informed analyses of language models (LMs) contribute to ...
01/26/2021 ∙ by Beilei Xiang, et al. ∙
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When Do You Need Billions of Words of Pretraining Data?
NLP is currently dominated by general-purpose pretrained language models...
11/10/2020 ∙ by Yian Zhang, et al. ∙
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Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually)
One reason pretraining on self-supervised linguistic tasks is effective ...
10/11/2020 ∙ by Alex Warstadt, et al. ∙
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Can neural networks acquire a structural bias from raw linguistic data?
We evaluate whether BERT, a widely used neural network for sentence proc...
07/14/2020 ∙ by Alex Warstadt, et al. ∙
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Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition
Natural language inference (NLI) is an increasingly important task for n...
04/07/2020 ∙ by Paloma Jeretič, et al. ∙
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BLiMP: A Benchmark of Linguistic Minimal Pairs for English
We introduce The Benchmark of Linguistic Minimal Pairs (shortened to BLi...
12/02/2019 ∙ by Alex Warstadt, et al. ∙
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Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs
Though state-of-the-art sentence representation models can perform tasks...
09/05/2019 ∙ by Alex Warstadt, et al. ∙
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Grammatical Analysis of Pretrained Sentence Encoders with Acceptability Judgments
Recent pretrained sentence encoders achieve state of the art results on ...
01/11/2019 ∙ by Alex Warstadt, et al. ∙
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Verb Argument Structure Alternations in Word and Sentence Embeddings
Verbs occur in different syntactic environments, or frames. We investiga...
11/27/2018 ∙ by Katharina Kann, et al. ∙
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Neural Network Acceptability Judgments
In this work, we explore the ability of artificial neural networks to ju...
05/31/2018 ∙ by Alex Warstadt, et al. ∙
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