Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data (bibtex)

by Veltri, Enzo, Santoro, Donatello, Badaro, Gilbert, Saeed, Mohammed and Papotti, Paolo

Reference:

Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data (Veltri, Enzo, Santoro, Donatello, Badaro, Gilbert, Saeed, Mohammed and Papotti, Paolo), In Proceedings of the 2022 International Conference on Management of Data, Association for Computing Machinery, 2022.

Bibtex Entry:

@inproceedings{SIGMOD2022,
	author = {Veltri, Enzo and 
			  Santoro, Donatello and 
			  Badaro, Gilbert and 
			  Saeed, Mohammed and 
			  Papotti, Paolo},
	title = {Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data},
	year = {2022},
	isbn = {9781450392495},
	publisher = {Association for Computing Machinery},
	address = {New York, NY, USA},
	url = {https://doi.org/10.1145/3514221.3520164},
	doi = {10.1145/3514221.3520164},
	booktitle = {Proceedings of the 2022 International Conference on Management of Data},
	pages = {2409–2412},
	numpages = {4},
	keywords = {unsupervised text generation, data to text generation, fact checking, data ambiguity},
	location = {Philadelphia, PA, USA},
	series = {SIGMOD '22}
}