Dr. Christian M. Meyer

MoverScore

Text Generation Evaluating with Contextualized Embeddings and
Earth Mover Distance

Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer und Steffen Eger:
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), S. 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/}

}

Notion of similarity in BERTScore and MoverScore.
Notion of similarity in BERTScore and MoverScore.