Stacked Embeddings and Multiple Fine-Tuned XLM-RoBERTa Models for Enhanced Hostility Identification

Siva Sai, Alfred W. Jacob, Sakshi Kalra, Yashvardhan Sharma. Stacked Embeddings and Multiple Fine-Tuned XLM-RoBERTa Models for Enhanced Hostility Identification. In Tanmoy Chakraborty 0002, Kai Shu, H. Russell Bernard, Huan Liu 0001, Md. Shad Akhtar, editors, Combating Online Hostile Posts in Regional Languages during Emergency Situation - First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8, 2021, Revised Selected Papers. Volume 1402 of Communications in Computer and Information Science, pages 224-235, Springer, 2021. [doi]

@inproceedings{SaiJKS21,
  title = {Stacked Embeddings and Multiple Fine-Tuned XLM-RoBERTa Models for Enhanced Hostility Identification},
  author = {Siva Sai and Alfred W. Jacob and Sakshi Kalra and Yashvardhan Sharma},
  year = {2021},
  doi = {10.1007/978-3-030-73696-5_21},
  url = {https://doi.org/10.1007/978-3-030-73696-5_21},
  researchr = {https://researchr.org/publication/SaiJKS21},
  cites = {0},
  citedby = {0},
  pages = {224-235},
  booktitle = {Combating Online Hostile Posts in Regional Languages during Emergency Situation - First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8, 2021, Revised Selected Papers},
  editor = {Tanmoy Chakraborty 0002 and Kai Shu and H. Russell Bernard and Huan Liu 0001 and Md. Shad Akhtar},
  volume = {1402},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-73696-5},
}