Classification and Clustering of Arguments withContextualized Word Embeddings
Table 4: F1 scores on the UKP ASPECT Corpus with increasing training set sizes (BERT model).
['[EMPTY]', '[BOLD] w/o Clustering', '[BOLD] With Clustering']
We evaluated the effect of the training set size on the performance of the BERT model for the ASPECT Corpus. A certain number of topics were randomly sampled and the performance was evaluated on distinct topics. This process was repeated 10 times with different random seeds Reimers and Gurevych