GETT-QA: Graph Embedding Based T2T Transformer for Knowledge Graph Question Answering

Debayan Banerjee, Pranav Ajit Nair, Ricardo Usbeck, Chris Biemann. GETT-QA: Graph Embedding Based T2T Transformer for Knowledge Graph Question Answering. In Catia Pesquita, Ernesto Jiménez-Ruiz, Jamie P. McCusker, Daniel Faria, Mauro Dragoni, Anastasia Dimou, Raphaél Troncy, Sven Hertling, editors, The Semantic Web - 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28 - June 1, 2023, Proceedings. Volume 13870 of Lecture Notes in Computer Science, pages 279-297, Springer, 2023. [doi]

@inproceedings{BanerjeeNUB23,
  title = {GETT-QA: Graph Embedding Based T2T Transformer for Knowledge Graph Question Answering},
  author = {Debayan Banerjee and Pranav Ajit Nair and Ricardo Usbeck and Chris Biemann},
  year = {2023},
  doi = {10.1007/978-3-031-33455-9_17},
  url = {https://doi.org/10.1007/978-3-031-33455-9_17},
  researchr = {https://researchr.org/publication/BanerjeeNUB23},
  cites = {0},
  citedby = {0},
  pages = {279-297},
  booktitle = {The Semantic Web - 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28 - June 1, 2023, Proceedings},
  editor = {Catia Pesquita and Ernesto Jiménez-Ruiz and Jamie P. McCusker and Daniel Faria and Mauro Dragoni and Anastasia Dimou and Raphaél Troncy and Sven Hertling},
  volume = {13870},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-33455-9},
}