Trained RPDNN LOO-CV models for early rumor detection

This is the release of our RPDNN trained LOO-CV model for early rumor detection.<div><br></div><div><div>Dataset *_full.zip contains our trained RPDNN models that is developed to predict social media rumor in early stage.</div><div><br></div><div>The purpose of this release is for research only and for reproducing our results in the paper.</div><div><br></div><div>For how to load and use the model, please our Allennlp and Pytorch based source code via https://github.com/jerrygaoLondon/RPDNN</div><div><br></div><div>For more details, please read our paper:</div><div><br></div><div>Gao. J., Han S., Song X., Ciravegna, F. (2020). “RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media”, In: The LREC 2020 Proceedings. The International Conference on Language Resources and Evaluation, 11-16 May 2020, Marseille. LREC 2020.</div></div><div><br></div>