Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data

Veltri, Enzo; Santoro, Donatello; Badaro, Gilbert; Saeed, Mohammed; Papotti, Paolo

doi:10.1145/3514221.3520164

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

Reference:

Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data (Enzo Veltri, Donatello Santoro, Gilbert Badaro, Mohammed Saeed, Paolo Papotti), In Proceedings of the 2022 International Conference on Management of Data - SIGMOD '22, Association for Computing Machinery, pp. 2409–2412, 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}
}