TACAM: Topic And Context Aware Argument Mining
Table 1. In-Topic
['two-class', 'Method BiLSTM', '0.74']
In this setting we do not expect a large improvement by providing topic information since the models have already been trained with arguments of the same topics as in the training set. However, we see a relative increase of about 10% for the two-classes and 20% for the three-classes classification problem by using context information from transfer learning. Therefore, we conclude that contextual information about potential arguments is important and since the topics are diverse, the model is able to learn argument structure for each topic.