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BLiMP: The Benchmark of Linguistic Minimal Pairs for English

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arxiv 1912.00582 v4 pith:RUJOJJ7F submitted 2019-12-02 cs.CL

Alex Warstadt , Alicia Parrish , Haokun Liu , Anhad Mohananey , Wei Peng , Sheng-Fu Wang , Samuel R. Bowman This is my paper · ORCID
classification cs.CL
keywords blimpminimalpairsbenchmarkcontrastsenglishlinguisticmodels
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We introduce The Benchmark of Linguistic Minimal Pairs (shortened to BLiMP), a challenge set for evaluating what language models (LMs) know about major grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each containing 1000 minimal pairs isolating specific contrasts in syntax, morphology, or semantics. The data is automatically generated according to expert-crafted grammars, and aggregate human agreement with the labels is 96.4%. We use it to evaluate n-gram, LSTM, and Transformer (GPT-2 and Transformer-XL) LMs. We find that state-of-the-art models identify morphological contrasts reliably, but they struggle with semantic restrictions on the distribution of quantifiers and negative polarity items and subtle syntactic phenomena such as extraction islands.

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Cited by 2 Pith papers

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