Bert For Sequence Labeling And Text Classification

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.
Alternatives To Bert For Sequence Labeling And Text Classification
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
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Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
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Bert For Sequence Labeling And Text Classification422
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This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.
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Pytorch-NLU,一个中文文本分类、序列标注工具包,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、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.
Awesome Nlp Resources113
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Transformer-based models implemented in tensorflow 2.x(using keras).
Mqnlp48
5 years agoJupyter Notebook
自然语言处理相关实验实现 some experiment of natural language processing, Like text classification, named entity recognition, pos-tags, segment, key words extractor, auto summarize etc.
Alternatives To Bert For Sequence Labeling And Text Classification
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