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python -m arekit.download_data | ||
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## Tutorials | ||
## Usage | ||
Please follow the wiki page | ||
[Tutorials List](https://github.com/nicolay-r/AREkit/wiki/Tutorials). | ||
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## Applications | ||
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* **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 | ||
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## 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; | ||
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## Related Frameworks | ||
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* **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) |