Applying Kumaraswamy distribution on stick-breaking process: a Dirichlet neural topic model approach
Author:
Funder
Ouyangjihong
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-09783-y.pdf
Reference46 articles.
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4. Zhou Q, Chen H, Zheng Y, Wang Z (2021) Evalda: Efficient evasion attacks towards latent Dirichlet allocation. In: Thirty-fifth AAAI conference on artificial intelligence, AAAI 2021, thirty-third conference on innovative applications of artificial intelligence, IAAI 2021, the eleventh symposium on educational advances in artificial intelligence, EAAI 2021, Virtual Event, February 2–9, 2021, pp 14602–14611
5. Cheevaprawatdomrong J, Schofield, A, Rutherford A (2022) More than words: collocation retokenization for latent Dirichlet allocation models. In: Muresan S, Nakov P, Villavicencio A (eds) Findings of the association for computational linguistics: ACL 2022, Dublin, Ireland, May 22–27, 2022, pp 2696–2704
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