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moverscore
MoverScore: Evaluating text generation with contextualized embeddings and earth mover distance
- 1.0.3
- PyPI
- Maintainers
- 1
MoverScore is a semantic-based evaluation metric for text generation tasks, e.g., machine translation, text summarization, image captioning, question answering and etc, where the system and reference texts are encoded by contextualized word embeddings finetuned on Multi-Natural-Language-Inference, then the Earth Mover Distance is leveraged to compute the semantic distance by comparing two sets of embeddings resp. to the system and reference text
FAQs
MoverScore: Evaluating text generation with contextualized embeddings and earth mover distance
We found that moverscore demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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