KIQA: Knowledge-Infused Question Answering Model for Financial Table-Text Data

Rungsiman Nararatwong, Natthawut Kertkeidkachorn, Ryutaro Ichise. KIQA: Knowledge-Infused Question Answering Model for Financial Table-Text Data. In Eneko Agirre, Marianna Apidianaki, Ivan Vulic, editors, Proceedings of Deep Learning Inside Out: The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, DeeLIO@ACL 2022, Dublin, Ireland and Online, May 27, 2022. pages 53-61, Association for Computational Linguistics, 2022. [doi]

@inproceedings{NararatwongKI22,
  title = {KIQA: Knowledge-Infused Question Answering Model for Financial Table-Text Data},
  author = {Rungsiman Nararatwong and Natthawut Kertkeidkachorn and Ryutaro Ichise},
  year = {2022},
  url = {https://aclanthology.org/2022.deelio-1.6},
  researchr = {https://researchr.org/publication/NararatwongKI22},
  cites = {0},
  citedby = {0},
  pages = {53-61},
  booktitle = {Proceedings of Deep Learning Inside Out: The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, DeeLIO@ACL 2022, Dublin, Ireland and Online, May 27, 2022},
  editor = {Eneko Agirre and Marianna Apidianaki and Ivan Vulic},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-955917-32-2},
}