Fake News Detection System Using XLNet Model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task

Author:

Gautam AkanshaORCID,Venktesh V.ORCID,Masud SarahORCID

Publisher

Springer International Publishing

Reference23 articles.

1. Adriani, R.: The evolution of fake news and the abuse of emerging technologies. Eur. J. Soc. Sci. 2(1), 32–38 (2019). https://doi.org/10.26417/ejss-2019.v2i1-53, http://journals.euser.org/index.php/ejss/article/view/4241

2. Agirrezabal, M.: KU-CST at the profiling fake news spreaders shared task. In: CLEF (2020)

3. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3(null), 993–1022 (2003)

4. Dai, Z., Yang, Z., Yang, Y., Carbonell, J., Le, Q., Salakhutdinov, R.: Transformer-XL: attentive language models beyond a fixed-length context. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, Florence, Italy, July 2019. https://www.aclweb.org/anthology/P19-1285

5. Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. CoRR abs/1810.04805 (2018). http://arxiv.org/abs/1810.04805

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