MoverScore
Text Generation Evaluating with Contextualized Embeddings and
Earth Mover Distance
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP/IJCNLP), pp. 563–578, November 2019. Hong Kong, China.
@INPROCEEDINGS{Zhao:2019,
author = {Zhao, Wei and Peyrard, Maxime and Liu, Fei and Gao, Yang and Meyer, Christian M. and Eger, Steffen},
title = {{MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance}},
booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing},
pages = {563--578},
month = {November},
year = {2019},
location = {Hong Kong, China},
language = {English},
doi = {10.18653/v1/D19-1053},
pdf = {https://chmeyer.de/research/publications/emnlp2019-metric/pdf/},
url = {https://chmeyer.de/research/publications/emnlp2019-metric/}
}