REDS2 | Leveraging 2-hop Distant Supervision | Natural Language Processing library

by sunlab-osu Python Version: Current License: MIT

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

kandi X-RAY | REDS2 Summary

REDS2 is a Python library typically used in Artificial Intelligence, Natural Language Processing, Pytorch, Bert applications. REDS2 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However REDS2 build file is not available. You can download it from GitHub.

Code and dataset for our paper "Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction" (EMNLP'19). Please kindly cite the following paper if you find this repo useful.

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Quality

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Support

REDS2 has a low active ecosystem.

It has 14 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 8 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of REDS2 is current.

Quality

REDS2 has 0 bugs and 0 code smells.

Security

REDS2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

REDS2 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

REDS2 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

REDS2 releases are not available. You will need to build from source code and install.

REDS2 has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed REDS2 and discovered the below as its top functions. This is intended to give you an instant insight into REDS2 implemented functionality, and help decide if they suit your requirements.

Train the model
Save checkpoint
Assign data to given device
Train the metrics
Train a training epoch
Update the configuration with the given options
Return the option name from flags
Set a value in the tree
Forward convolution layer
Performs piecewise pooling
Forward computation
Calculate the logit
Load relation dictionary
Performs word embedding
Setup logging
Assign data to a device
Load a word dict
Wrapper for the optimizer

Get all kandi verified functions for this library.

REDS2 Key Features

No Key Features are available at this moment for REDS2.

REDS2 Examples and Code Snippets

No Code Snippets are available at this moment for REDS2.

Community Discussions

Trending Discussions on REDS2

Remove series in array if ALL values equal 0

QUESTION

Remove series in array if ALL values equal 0

Asked 2019-Jul-22 at 00:19

I want to review an array called $rows. For each distinct series in ifDesc, if all Octets are 0 then remove them, however if a single entry is > 0, keep the entire series including the 0's for that distinct ifDesc

I attempted to loop through this using PHP or JavaScript (as it is passed as an ajax response) using foreach however I was having issues working with the distinct ifDesc

This is the array json encoded for readability.

...

ANSWER

Answered 2019-Jul-18 at 01:12

Change your query to filter them out.

Source https://stackoverflow.com/questions/57085719

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

Vulnerabilities

No vulnerabilities reported

Install REDS2

Clone the repository
Install all the required package or use the docker image above
Prepare data, config, trained model. The configs used in the paper is already included. You can get the trained model from Box. The final structure should look like this:
run the command bellow to train a BASE model from scratch
run the command bellow to train REDS2 based on pretrained BASE model
run the commad bellow for evaluation. If you want to test BASE+MERGE, choose trained BASE model, then pass -m 1 to test.py. This will merge 2-hop sentences.

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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