Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity
Table 1. NLP Features
['[BOLD] Feature Name', '[BOLD] Description', '[BOLD] Feature Count']
We have identified a novel combination of features which are highly effective to provide indicative clues for rumor stance and veracity, when learning the fine-tuned representation on top of pre-trained model. We have introduced two new features in addition to the previously available features. The second one are the speech-act 2019(Gorrell The features extracted has been passed through a linear layer of size d2, hence fi∈Rd2 ∀ i∈ [1,|C|].