Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake. Hyperbolic Embeddings for Preserving Privacy and Utility in Text. In Oluwaseyi Feyisetan, Sepideh Ghanavati, Oleg Rokhlenko, Patricia Thaine, editors, Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020. Volume 2573 of CEUR Workshop Proceedings, pages 39-40, CEUR-WS.org, 2020. [doi]
@inproceedings{FeyisetanDD20, title = {Hyperbolic Embeddings for Preserving Privacy and Utility in Text}, author = {Oluwaseyi Feyisetan and Tom Diethe and Thomas Drake}, year = {2020}, url = {http://ceur-ws.org/Vol-2573/PrivateNLP_Poster1.pdf}, researchr = {https://researchr.org/publication/FeyisetanDD20}, cites = {0}, citedby = {0}, pages = {39-40}, booktitle = {Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020}, editor = {Oluwaseyi Feyisetan and Sepideh Ghanavati and Oleg Rokhlenko and Patricia Thaine}, volume = {2573}, series = {CEUR Workshop Proceedings}, publisher = {CEUR-WS.org}, }