intent_slot | Joint Intent Classification and Slot Filling

by mangushev Python Version: Current License: MIT

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

kandi X-RAY | intent_slot Summary

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

implementation of "BERT for Joint Intent Classification and Slot Filling" in Tensorflow

Support

Quality

Security

License

Reuse

Support

intent_slot has a low active ecosystem.

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

It had no major release in the last 6 months.

intent_slot has no issues reported. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of intent_slot is current.

Quality

intent_slot has no bugs reported.

Security

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

License

intent_slot is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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

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intent_slot Key Features

No Key Features are available at this moment for intent_slot.

intent_slot Examples and Code Snippets

No Code Snippets are available at this moment for intent_slot.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install intent_slot

You can download it from GitHub.
You can use intent_slot 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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