MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

Wei Zhao; Maxime  Peyrard; Fei Liu; Yang Gao; Christian M. Meyer; Steffen Eger

doi:10.18653/v1/D19-1053

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Publisher	Association for Computational Linguistics
Pages	563-578
Number of pages	16
DOIs	https://doi.org/10.18653/v1/D19-1053
Publication status	Published - Nov 2019

Access to Document

10.18653/v1/D19-1053Licence: CC BY

https://arxiv.org/abs/1909.02622

Cite this

Zhao, W., Peyrard, M., Liu, F., Gao, Y., Meyer, C. M., & Eger, S. (2019). 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). Association for Computational Linguistics. https://doi.org/10.18653/v1/D19-1053

Zhao, Wei ; Peyrard, Maxime ; Liu, Fei et al. / MoverScore : Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, 2019. pp. 563-578

@inproceedings{6e106139a2fe4ac9be11d5d3e0057570,

title = "MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance",

author = "Wei Zhao and Maxime Peyrard and Fei Liu and Yang Gao and Meyer, {Christian M.} and Steffen Eger",

year = "2019",

month = nov,

doi = "10.18653/v1/D19-1053",

language = "English",

pages = "563--578",

booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",

publisher = "Association for Computational Linguistics",

}

Zhao, W, Peyrard, M, Liu, F, Gao, Y, Meyer, CM & Eger, S 2019, 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). Association for Computational Linguistics, pp. 563-578. https://doi.org/10.18653/v1/D19-1053

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. / Zhao, Wei; Peyrard, Maxime ; Liu, Fei et al.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, 2019. p. 563-578.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - MoverScore

T2 - Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

AU - Zhao, Wei

AU - Peyrard, Maxime

AU - Liu, Fei

AU - Gao, Yang

AU - Meyer, Christian M.

AU - Eger, Steffen

PY - 2019/11

Y1 - 2019/11

U2 - 10.18653/v1/D19-1053

DO - 10.18653/v1/D19-1053

M3 - Conference contribution

SP - 563

EP - 578

BT - Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

PB - Association for Computational Linguistics

ER -

Zhao W, Peyrard M, Liu F, Gao Y, Meyer CM, Eger S. 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). Association for Computational Linguistics. 2019. p. 563-578 doi: 10.18653/v1/D19-1053