AGIF | Open source code for EMNLP 2020 Findings Paper | Natural Language Processing library

by LooperXX Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | AGIF Summary

AGIF is a Python library typically used in Artificial Intelligence, Natural Language Processing, Pytorch applications. AGIF has no bugs, it has no vulnerabilities and it has low support. However AGIF build file is not available. You can download it from GitHub.

This repository contains the official PyTorch implementation of the paper:. AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling. Libo Qin, Xiao Xu, Wanxiang Che, Ting Liu. EMNLP 2020 Accept-Findings. [Paper(Arxiv)] [Paper].

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Quality

Security

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Support

AGIF has a low active ecosystem.

It has 23 star(s) with 9 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of AGIF is current.

Quality

AGIF has 0 bugs and 0 code smells.

Security

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

AGIF code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

AGIF 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

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

AGIF 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.

It has 1150 lines of code, 72 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Compute F1 score
Checks if the end of a chunk is ending
Checks if the start of a chunk is started
Split tag type
Prepare the training
Adds a file
Saves the list of dictionaries to a directory
Add an instance
Train the model
Add padding to texts
Estimate accuracy
Batch delivery
Compute the prediction
Generate GAT tensor
Normalize adjacency matrix
Validate a trained model
Prints a summary of training parameters
Prints a summary of the model parameters
Calculates the accuracy between two arrays

Get all kandi verified functions for this library.

AGIF Key Features

No Key Features are available at this moment for AGIF.

AGIF Examples and Code Snippets

No Code Snippets are available at this moment for AGIF.

Community Discussions

Trending Discussions on AGIF

How to disable function signature suggestion popups in vscode?

QUESTION

How to disable function signature suggestion popups in vscode?

Asked 2020-Feb-19 at 02:32

I disabled all the suggestions options I could find in settings, but this one still pops up.

How could I disable it?

...

ANSWER

Answered 2020-Feb-19 at 02:32

Te VS Code term for this is signature-help/parameter-hints. To disable them, just set:

Source https://stackoverflow.com/questions/60291379

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

Vulnerabilities

No vulnerabilities reported

Install AGIF

You can download it from GitHub.
You can use AGIF 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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