Contextualized embeddings from ELMo and BERT improve argument classification by 7.4-20.8 points and clustering by 7.8-12.3 points over baselines on multiple datasets.
In Proceedings of COLING 2014, the 25th International Conference on Compu- tational Linguistics: T echnical Papers, pages 1489–
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Classification and Clustering of Arguments with Contextualized Word Embeddings
Contextualized embeddings from ELMo and BERT improve argument classification by 7.4-20.8 points and clustering by 7.8-12.3 points over baselines on multiple datasets.