Nested Named Entity Recognition

Last update: Dec 25, 2022

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Nested Named Entity Recognition

Training Dataset: CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark url: https://tianchi.aliyun.com/dataset/dataDetail?dataId=95414

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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.

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.

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Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

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Releases(v0.0.1)

v0.0.1(Nov 24, 2021)

Please use macbert-large_dict.pth as the pretrained model's weight and load_state_dict().

The source code of the release is out of date.
Source code(tar.gz)
Source code(zip)
macbert-large_dict.pth(1246.43 MB)

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Nested Named Entity Recognition

Related tags

Overview

Nested Named Entity Recognition

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