FewShotTagging | ACL2020 paper : Few-shot Slot Tagging

by AtmaHou Python Version: Current License: No License

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

kandi X-RAY | FewShotTagging Summary

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

Code for ACL2020 paper: Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

Support

Quality

Security

License

Reuse

Support

FewShotTagging has a low active ecosystem.

It has 122 star(s) with 21 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 22 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FewShotTagging is current.

Quality

FewShotTagging has 0 bugs and 0 code smells.

Security

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

FewShotTagging code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FewShotTagging 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

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

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

Installation instructions are not available. Examples and code snippets are available.

FewShotTagging saves you 1700 person hours of effort in developing the same functionality from scratch.

It has 3767 lines of code, 284 functions and 20 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Forward computation
Remove a tensor from a tensor
Make a model
Check if a transition is allowed
Returns a list of allowed transitions
Load embedding layer
Train the model
Make a check point
Returns a sampler instance
Forward computation
Removes the value from the tensor
Concatenate examples
Compute the similarity between examples
Get training data and feature
Make preprocessor
Compute the joint likelihood
Prepare a few many shot optimization
Check if the options are valid
Get test data
Prepare optimizer for optimizer
Forward computation
Calculate the similarity score
Compute the similarity score
Select a model from a check point
Clone a single shot model
Initialize the device environment
Create a label mask for the given label

Get all kandi verified functions for this library.

FewShotTagging Key Features

No Key Features are available at this moment for FewShotTagging.

FewShotTagging Examples and Code Snippets

No Code Snippets are available at this moment for FewShotTagging.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install FewShotTagging

You can download it from GitHub.
You can use FewShotTagging 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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