moverscore

Name	moverscore JSON
Version	1.0.3 JSON
	download
home_page	https://github.com/AIPHES/emnlp19-moverscore
Summary	MoverScore: Evaluating text generation with contextualized embeddings and earth mover distance
upload_time	2020-04-09 00:13:03
maintainer
docs_url	None
author	Wei Zhao
requires_python	>=3
license	Apache License 2.0
keywords	machine translation evaluation nlp natural language processing computational linguistics
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            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
            

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