NLP_CRF_BILSTM_NER | 利用crf bilstm来解决nlp当中的ner（命名实体识别）的问题

by chenywang Python Version: Current License: No License

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kandi X-RAY | NLP_CRF_BILSTM_NER Summary

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

利用crf + bilstm来解决nlp当中的ner（命名实体识别）的问题

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Quality

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Support

NLP_CRF_BILSTM_NER has a low active ecosystem.

It has 1 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

NLP_CRF_BILSTM_NER has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NLP_CRF_BILSTM_NER is current.

Quality

NLP_CRF_BILSTM_NER has no bugs reported.

Security

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

License

NLP_CRF_BILSTM_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

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

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

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NLP_CRF_BILSTM_NER Key Features

No Key Features are available at this moment for NLP_CRF_BILSTM_NER.

NLP_CRF_BILSTM_NER Examples and Code Snippets

No Code Snippets are available at this moment for NLP_CRF_BILSTM_NER.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install NLP_CRF_BILSTM_NER

You can download it from GitHub.
You can use NLP_CRF_BILSTM_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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