Metadata-Version: 1.2
Name: moverscore
Version: 1.0.3
Summary: MoverScore: Evaluating text generation with contextualized embeddings and earth mover distance
Home-page: https://github.com/AIPHES/emnlp19-moverscore
Author: Wei Zhao
Author-email: andyweizhao1@gmail.com
Maintainer-email: andyweizhao1@gmail.com
License: Apache License 2.0
Description: 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
Keywords: machine translation, evaluation, NLP, natural language processing, computational linguistics
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Text Processing
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3
