BiRD (Bigram Relatedness Dataset)
Introduced by Asaadi et al. in Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition
Bigram Relatedness Dataset (BiRD) is a large, fine-grained, bigram relatedness dataset, using a comparative annotation technique called Best Worst Scaling. Each of BiRD's 3,345 English term pairs involves at least one bigram. BiRD is made freely available to foster further research on how meaning can be represented and how meaning can be composed.
Papers
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