1. Bhatia, P., et al.: AWS CORD-19 search: a neural search engine for COVID-19 literature. http://arxiv.org/abs/2007.09186
2. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)
3. Chang, J., Boyd-Graber, J., Gerrish, S., Wang, C., Blei, D.M.: Reading tea leaves: How humans interpret topic models. In: Proceedings of the 22nd International Conference on Neural Information Processing Systems, pp. 288–296. NIPS 2009, Curran Associates Inc., Red Hook, NY, USA (2009)
4. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding (2018). https://doi.org/10.48550/ARXIV.1810.04805, https://arxiv.org/abs/1810.04805
5. Dumais, S.T.: Latent semantic analysis. Ann. Rev. Inf. Sci. Technol. 38, 188–230 (2005)