中文文本分类、序列标注工具包(pytorch),支持中文长文本、短文本的多类、多标签分类任务,支持中文命名实体识别、词性标注、分词、抽取式文本摘要等序列标注任务。 Chinese text classification and sequence labeling toolkit, supports multi class and multi label classification, text similsrity, text summary and NER.
Classify and analyze Chinese text using a simple natural language processing toolkit.
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Free · no card · unsubscribe anytime中文文本分类、序列标注工具包(pytorch),支持中文长文本、短文本的多类、多标签分类任务,支持中文命名实体识别、词性标注、分词、抽取式文本摘要等序列标注任务。 Chinese text classification and sequence labeling toolkit, supports multi class and multi label classification, text similsrity, text summary and NER.
Pytorch-NLU has 357 stars on GitHub. It has been forked 51 times. Pytorch-NLU is written mainly in Python. It has been in active development since 2021. Pytorch-NLU is available under the Apache-2.0 license. Its main topics are bert, chinese-text-classification, chinese-text-segmentation, named-entity-recognition.
中文文本分类、序列标注工具包(pytorch),支持中文长文本、短文本的多类、多标签分类任务,支持中文命名实体识别、词性标注、分词、抽取式文本摘要等序列标注任务。 Chinese text classification and sequence labeling toolkit, supports multi class and multi label classification, text similsrity, text summary and NER.
Pytorch-NLU is an open-source project. It is released under the Apache-2.0 license.
Yes. Pytorch-NLU is free and open source — you can use, modify and self-host it.
Pytorch-NLU is available under the Apache-2.0 license.
Pytorch-NLU is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.