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%0 Conference Proceedings
%T Latent Topic Refinement based on Distance Metric Learning and Semantics-assisted Non-negative Matrix Factorization
%A Dang, Tran-Binh
%A Nguyen, Ha-Thanh
%A Nguyen, Le-Minh
%Y Nguyen, Minh Le
%Y Luong, Mai Chi
%Y Song, Sanghoun
%S Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation
%D 2020
%8 October
%I Association for Computational Linguistics
%C Hanoi, Vietnam
%F dang-etal-2020-latent
%U https://aclanthology.org/2020.paclic-1.8
%P 70-75

Markdown (Informal)

[Latent Topic Refinement based on Distance Metric Learning and Semantics-assisted Non-negative Matrix Factorization](https://aclanthology.org/2020.paclic-1.8) (Dang et al., PACLIC 2020)

• Latent Topic Refinement based on Distance Metric Learning and Semantics-assisted Non-negative Matrix Factorization (Dang et al., PACLIC 2020)

ACL

• Tran-Binh Dang, Ha-Thanh Nguyen, and Le-Minh Nguyen. 2020. Latent Topic Refinement based on Distance Metric Learning and Semantics-assisted Non-negative Matrix Factorization. In Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, pages 70–75, Hanoi, Vietnam. Association for Computational Linguistics.