Matheus Werner, Eduardo Laber. Speeding up Word Mover's Distance and Its Variants via Properties of Distances Between Embeddings. In Giuseppe De Giacomo, Alejandro Catalá, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, Jérôme Lang, editors, ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020). Volume 325 of Frontiers in Artificial Intelligence and Applications, pages 2204-2211, IOS Press, 2020. [doi]
@inproceedings{WernerL20,
title = {Speeding up Word Mover's Distance and Its Variants via Properties of Distances Between Embeddings},
author = {Matheus Werner and Eduardo Laber},
year = {2020},
doi = {10.3233/FAIA200346},
url = {https://doi.org/10.3233/FAIA200346},
researchr = {https://researchr.org/publication/WernerL20},
cites = {0},
citedby = {0},
pages = {2204-2211},
booktitle = {ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020)},
editor = {Giuseppe De Giacomo and Alejandro Catalá and Bistra Dilkina and Michela Milano and Senén Barro and Alberto Bugarín and Jérôme Lang},
volume = {325},
series = {Frontiers in Artificial Intelligence and Applications},
publisher = {IOS Press},
isbn = {978-1-64368-101-6},
}