-
Notifications
You must be signed in to change notification settings - Fork 3
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Browse files
Browse the repository at this point in the history
- Loading branch information
Showing
1 changed file
with
0 additions
and
18 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -17,21 +17,7 @@ This toolkit aims to solve data preparation problems in Relation Extraction rela | |
| * :straight_ruler: distance consideration between relation participants (in `terms` or `sentences`), | ||
| * 📑 relations annotations and filtering rules, | ||
| * *️⃣ entities formatting or masking, and more. | ||
|
|
||
| Using AREkit you may focus on preparation and experiments with your ML-models by shift all the data-preparation part onto toolset of this project for: | ||
| [neural-networks](https://github.com/nicolay-r/AREkit/wiki/Sampling-for-Neural-Network), | ||
| [language-models](https://github.com/nicolay-r/AREkit/wiki/Sampling-for-BERT), | ||
| [ChatGPT](https://github.com/nicolay-r/AREkit/wiki/Sampling-for-ChatGPT). | ||
|
|
||
| In order to do so, we provide: | ||
| * :file_folder: API for external [collection binding](https://github.com/nicolay-r/AREkit/wiki/Binding-a-Custom-Source) (native support of [BRAT](https://brat.nlplab.org/)-based exported annotations) | ||
| * ➿ [pipelines](https://github.com/nicolay-r/AREkit/wiki/Pipelines:-Text-Opinion-Annotation) and iterators for handling large-scale collections serialization without out-of-memory issues. | ||
| * evaluators which allows you to assess your trained model. | ||
|
|
||
| AREkit is a very close to opensource framework [SeqIO](https://github.com/google/seqio) proposed by [Google](https://github.com/google) | ||
| for data-preprocessing, evaluation, for sequence models. | ||
| 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. | ||
|
|
||
| The core functionality includes | ||
| (1) API for document presentation with EL (Entity Linking, i.e. Object Synonymy) support | ||
|
|
@@ -44,7 +30,3 @@ for sentence level relations preparation (dubbed as contexts) | |
| ```bash | ||
| pip install git+https://github.com/nicolay-r/[email protected] | ||
| ``` | ||
|
|
||
| ## Usage | ||
| Please follow the wiki page | ||
| [Tutorials List](https://github.com/nicolay-r/AREkit/wiki/Tutorials). | ||