Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages

Bhavyajeet Singh, Siri Venkata Pavan Kumar Kandru, Anubhav Sharma, Vasudeva Varma. Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages. In Md. Shad Akhtar, Tanmoy Chakraborty 0002, editors, Proceedings of the 19th International Conference on Natural Language Processing, ICON 2022, New Delhi, India, December 15-18, 2022. pages 11-18, Association for Computational Linguistics, 2022. [doi]

@inproceedings{SinghKSV22,
  title = {Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages},
  author = {Bhavyajeet Singh and Siri Venkata Pavan Kumar Kandru and Anubhav Sharma and Vasudeva Varma},
  year = {2022},
  url = {https://aclanthology.org/2022.icon-main.2},
  researchr = {https://researchr.org/publication/SinghKSV22},
  cites = {0},
  citedby = {0},
  pages = {11-18},
  booktitle = {Proceedings of the 19th International Conference on Natural Language Processing, ICON 2022, New Delhi, India, December 15-18, 2022},
  editor = {Md. Shad Akhtar and Tanmoy Chakraborty 0002},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-38-8},
}