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nicolay-r committed Dec 13, 2022
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While SeqIO dedicated for conversion/pre-processing of datasets of any type,
this project proposes pipelines creation from the very raw or preannotated (BRAT-based) texts, including the solutions for problems mentioned above.

AREkit also complements the [OpenNRE](https://github.com/thunlp/OpenNRE) functionality since *document-level RE setting is not widely explored* (2.4 [[paper]](https://aclanthology.org/D19-3029.pdf)).
The core functionality includes
(1) API for document presentation with EL (Entity Linking, i.e. Object Synonymy) support
for sentence level relations preparation (dubbed as contexts)
(2) API for contexts extraction
(3) relations transferring from sentence-level onto document-level, and more.
It providers contrib modules of
**neural networks** (like OpenNRE) applicable for sentiment attitude extraction task.

## Installation

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## Related Frameworks

* **SeqIO** [[github]](https://github.com/google/seqio)
* **OpenNRE** [[github]](https://github.com/thunlp/OpenNRE) [[paper]](https://aclanthology.org/D19-3029.pdf)
* **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)
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