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Found 2 papers, 1 papers with code
Contextualized Embeddings Encode Monolingual and Cross-lingual Knowledge of Idiomaticity
We consider monolingual experiments for English and Russian, and show that the proposed model outperforms previous approaches, including in the case that the model is tested on instances of PIE types that were not observed during training.
UNBNLP at SemEval-2021 Task 1: Predicting lexical complexity with masked language models and character-level encoders
In this paper, we present three supervised systems for English lexical complexity prediction of single and multiword expressions for SemEval-2021 Task 1.
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