Combining Latent Semantic Analysis and Pre-trained Model for Vietnamese Text Readability Assessment: Combining Statistical Semantic Embeddings and Pre-trained Model for Vietnamese Long-Sequence Readability Assessment

Nam-Thuan Doan, Thi-Anh-Thi Le, An-Vinh Luong, Dien Dinh. Combining Latent Semantic Analysis and Pre-trained Model for Vietnamese Text Readability Assessment: Combining Statistical Semantic Embeddings and Pre-trained Model for Vietnamese Long-Sequence Readability Assessment. In ITCC 2022: 4th International Conference on Information Technology and Computer Communications, Guangzhou, China, June 23 - 25, 2022. pages 45-52, ACM, 2022. [doi]

@inproceedings{DoanLLD22,
  title = {Combining Latent Semantic Analysis and Pre-trained Model for Vietnamese Text Readability Assessment: Combining Statistical Semantic Embeddings and Pre-trained Model for Vietnamese Long-Sequence Readability Assessment},
  author = {Nam-Thuan Doan and Thi-Anh-Thi Le and An-Vinh Luong and Dien Dinh},
  year = {2022},
  doi = {10.1145/3548636.3548643},
  url = {https://doi.org/10.1145/3548636.3548643},
  researchr = {https://researchr.org/publication/DoanLLD22},
  cites = {0},
  citedby = {0},
  pages = {45-52},
  booktitle = {ITCC 2022: 4th International Conference on Information Technology and Computer Communications, Guangzhou, China, June 23 - 25, 2022},
  publisher = {ACM},
  isbn = {978-1-4503-9682-0},
}