Cited by 490Topic ModelingNatural Language Processing TechniquesSpeech Recognition and Synthesis

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

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Zhao, Wei, Peyrard, Maxime, Liu, Fei, Gao, Yang, Meyer, Christian M., Eger, Steffen·2019·Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Abstract

Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.

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  • MoverScore's combination of BERT's contextual embeddings and IDF weighting correlates highly with human judgment.

    “The combination of BERT's contextual embeddings and IDF weighting has been shown by Zhao et al. (2019) to correlate highly with human judgment.”

    From YESciEval: Robust LLM-as-a-Judge for Scientific Question Answering (2025) · cites this paper as Zhao et al. (2019)

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Authors
Zhao, W., Peyrard, M., Liu, F., Gao, Y., Meyer, C. M., & Eger, S.
Affiliations
  • Technische Universität Darmstadt (DE)
  • University of Central Florida (US)
Venue
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Published
2019
Pages
563-578
OpenAlex
W2970785793
Cited by
490
References
55
Citations by year
2026: 38 · 2025: 62 · 2024: 61 · 2023: 110 · 2022: 82 · 2021: 84 · 2020: 48 · 2019: 5
FWCI
20.95
Type
conference paper
Language
en
Open access
Licence
cc-by
Locations
  • Conference on Empirical Methods in Natural Language Processing (EMNLP) (publishedVersion, cc-by)
  • TUbilio (Technical University of Darmstadt) (submittedVersion)
Funders
  • National Science Foundation (1909603)
  • Deutsche Forschungsgemeinschaft (GRK 1994, GRK 1994/1)
  • Technische Universität Darmstadt
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
Keywords
text generation evaluation, contextual embeddings, earth mover distance, paraphrase detection

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