BLiMP: A Benchmark of Linguistic Minimal Pairs for English

By Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng Wang, Samuel R. Bowman, Samuel R. Bowman. 2020

16 citations recorded by the source corpus.

Subfields: Evaluation & Benchmarks, Computational Linguistics & Semantics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Evaluation & Benchmarks

1. Dan Roth
2. Eneko Agirre
3. Thien Huu Nguyen
4. Elior Sulem
5. John Wieting
6. Kevin Gimpel
7. Kawin Ethayarajh
8. Iryna Gurevych

In Computational Linguistics & Semantics

1. Dan Roth
2. Oscar Sainz
3. Eneko Agirre
4. Thien Huu Nguyen
5. Bonan Min
6. Hayley Ross
7. Ilana Heinz
8. Amir Pouran Ben Veyseh

Citations in the corpus

• Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey (2021, background): “A main resource in this context is BLiMP (Benchmark of Linguistic Minimal Pairs) [192], which provides minimal pairs for various grammatical phenomena.”