rnn_ner | chinese ner based on rnn

by clayandgithub Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | rnn_ner Summary

rnn_ner is a Python library. rnn_ner has no bugs, it has no vulnerabilities and it has low support. However rnn_ner build file is not available. You can download it from GitHub.

说明：利用rnn实现命名实体识别算法源码参考:数据集下载地址：训练步骤： 1 用现有的语料库（已经切分好）训练出word2vec的model 2 预训练处理语料库得到训练输入和测试输入 3 构建rnn并进行训练，在训练的同时测试准确率 4 根据训练好的model得到可能的序列组合，并利用viterbi算法选择出其中可能性最大的一个序列.

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Security

License

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Support

rnn_ner has a low active ecosystem.

It has 11 star(s) with 4 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 241 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of rnn_ner is current.

Quality

rnn_ner has no bugs reported.

Security

rnn_ner has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

rnn_ner does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

rnn_ner releases are not available. You will need to build from source code and install.

rnn_ner has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed rnn_ner and discovered the below as its top functions. This is intended to give you an instant insight into rnn_ner implemented functionality, and help decide if they suit your requirements.

A example of example
Compute the viterbi

Get all kandi verified functions for this library.

rnn_ner Key Features

No Key Features are available at this moment for rnn_ner.

rnn_ner Examples and Code Snippets

No Code Snippets are available at this moment for rnn_ner.

Community Discussions

No Community Discussions are available at this moment for rnn_ner.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install rnn_ner

You can download it from GitHub.
You can use rnn_ner like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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