AURC | Accompanying repository of our AAAI-20 paper | Machine Learning library

by trtm Python Version: Current License: No License

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kandi X-RAY | AURC Summary

AURC is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. AURC has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Accompanying repository of our AAAI-20 paper: "Fine-Grained Argument Unit Recognition and Classification". ️ The dataset was updated (cleaner parsing and encoding) and is not similar to the original one in the paper. ️ However, the count of the sentences and labels is the same. ️ We will soon update the reported results.

Support

Quality

Security

License

Reuse

Support

AURC has a low active ecosystem.

It has 14 star(s) with 6 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of AURC is current.

Quality

AURC has no bugs reported.

Security

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

License

AURC 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

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

Build file is available. You can build the component from source.

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

Top functions reviewed by kandi - BETA

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

Parse sentence
Given a sentence and a list of annotations return a list of stance
Evaluate the model
Train the model
Create a dictionary with labels and labels
Download a single page from CommonCrawl

Get all kandi verified functions for this library.

AURC Key Features

No Key Features are available at this moment for AURC.

AURC Examples and Code Snippets

No Code Snippets are available at this moment for AURC.

Community Discussions

Trending Discussions on AURC

Cannot commit an entry to database which has "e" character while other characters are number

QUESTION

Cannot commit an entry to database which has "e" character while other characters are number

Asked 2017-Feb-01 at 08:45

I am trying to add below values to the addrlookup table while user_name field in the database has varchar2(64 byte) data type;

...

ANSWER

Answered 2017-Jan-02 at 06:27

Oracle is interpreting your data as a number specified in scientific notation. To beat this, you could this:

Concatenate the string literal with an empty string so that Oracle treats the result as a string:

Source https://stackoverflow.com/questions/41419264

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

Vulnerabilities

No vulnerabilities reported

Install AURC

You can download it from GitHub.
You can use AURC 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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