FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation

Kun Zhang, Oana Balalau, Ioana Manolescu. FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation. In Houda Bouamor, Juan Pino 0001, Kalika Bali, editors, Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023. pages 10025-10042, Association for Computational Linguistics, 2023. [doi]

@inproceedings{ZhangBM23-0,
  title = {FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation},
  author = {Kun Zhang and Oana Balalau and Ioana Manolescu},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-emnlp.672},
  researchr = {https://researchr.org/publication/ZhangBM23-0},
  cites = {0},
  citedby = {0},
  pages = {10025-10042},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023},
  editor = {Houda Bouamor and Juan Pino 0001 and Kalika Bali},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-061-5},
}