Skip to content

Commit

Permalink
Update README.md
Browse files Browse the repository at this point in the history
#488 simplified readme
  • Loading branch information
nicolay-r committed Aug 13, 2023
1 parent a624ae1 commit 1e1d354
Showing 1 changed file with 1 addition and 22 deletions.
23 changes: 1 addition & 22 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -51,27 +51,6 @@ pip install git+https://github.com/nicolay-r/AREkit.git@0.23.1-rc
python -m arekit.download_data
```

## Tutorials
## Usage
Please follow the wiki page
[Tutorials List](https://github.com/nicolay-r/AREkit/wiki/Tutorials).

## Applications

* **AREnets** [[github]](https://github.com/nicolay-r/AREnets)
* is an OpenNRE like project, but the kernel based on tensorflow library, with implementation of neural networks on top of it, designed for Attitude
* **ARElight** [[site]](https://nicolay-r.github.io/arelight-page/) [[github]](https://github.com/nicolay-r/ARElight)
* **Infer attitudes** from large Mass-media documents or **sample texts** for your Machine Learning models applications

## Papers
* Frame-Based attitude extraction workflow for news processing [[code]](https://github.com/nicolay-r/frame-based-attitude-extraction-workflow)
* Represents an attitude annotation workflow based on [RuSentiFrames](https://github.com/nicolay-r/RuSentiFrames) lexicon which is utilized for news processing;
* Neural Networks Applications in Sentiment Attitude Extraction [[code]](https://github.com/nicolay-r/neural-networks-for-attitude-extraction)
* Neural Networks application for attitude extraction from analytical articles;
* BERT-based model utils for Sentiment Attitude Extraction task [[code]](https://github.com/nicolay-r/bert-utils-for-attitude-extraction)
* Analytical news formatter for BERT-based models;

## Related Frameworks

* **SeqIO** [[github]](https://github.com/google/seqio)
* **DeRE** [[github]](https://github.com/ims-tcl/DeRE) [[paper]](https://aclanthology.org/D18-2008/)
* **CREST** [[github]](https://github.com/phosseini/CREST) [[paper]](https://arxiv.org/abs/2103.13606)

0 comments on commit 1e1d354

Please sign in to comment.