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cag-1.5.0
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مشاهده بیشتر
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مشاهده بیشترتوضیحات
This is a general framework to create arango db graphs and annotate them.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | cag-1.5.0 |
| نام | cag |
| نسخه کتابخانه | 1.5.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | - |
| ایمیل نویسنده | Roxanne El Baff <roxanne.elbaff@dlr.de>, Tobias Hecking <tobias.hecking@dlr.de> |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/cag/ |
| مجوز | - |
<h1 align="center">Welcome to the Corpus Annotation Graph Builder <code>(CAG)</code> </h1>
<p align="center">
<a href="https://pypi.org/project/cag/"><img src="https://badge.fury.io/py/cag.svg" alt="Badge: PyPI version" height="18"></a>
<a href="https://img.shields.io/badge/Made%20with-Python-1f425f.svg">
<img src="https://img.shields.io/badge/Made%20with-Python-1f425f.svg" alt="Badge: Made with Python"/>
</a>
<a href="https://open.vscode.dev/DLR-SC/corpus-annotation-graph-builder">
<img alt="Badge: Open in VSCode" src="https://img.shields.io/static/v1?logo=visualstudiocode&label=&message=open%20in%20visual%20studio%20code&labelColor=2c2c32&color=007acc&logoColor=007acc" target="_blank" />
</a>
<a href="https://github.com/psf/black"><img src="https://img.shields.io/badge/code%20style-black-000000.svg" alt="Badge: Black" height="18"></a>
<a href="https://zenodo.org/badge/latestdoi/572124344"><img src="https://zenodo.org/badge/572124344.svg" alt="DOI"></a>
<a href="https://github.com/DLR-SC/corpus-annotation-graph-builder/blob/master/LICENSE">
<img alt="License: MIT" src="https://img.shields.io/badge/license-MIT-yellow.svg" target="_blank" />
</a>
<a href="https://twitter.com/dlr_software">
<img alt="Twitter: DLR Software" src="https://img.shields.io/twitter/follow/dlr_software.svg?style=social" target="_blank" />
</a>
</p>
> `cag` is a Python Library offering an architectural framework to employ the build-annotate pattern when building Graphs.
---
[Paper video](https://drive.google.com/drive/folders/1KE4NT2NQyfj4VYsAdQAE8WoBpGWA33O0?usp=sharing).
**Corpus Annotation Graph builder (CAG)** is an *architectural framework* that employs the *build-and-annotate* pattern for creating a graph. CAG is built on top of [ArangoDB](https://www.arangodb.com) and its Python drivers ([PyArango](https://pyarango.readthedocs.io/en/latest/)). The *build-and-annotate* pattern consists of two phases (see Figure below): (1) data is collected from different sources (e.g., publication databases, online encyclopedias, news feeds, web portals, electronic libraries, repositories, media platforms) and preprocessed to build the core nodes, which we call *Objects of Interest*. The component responsible for this phase is the **Graph-Creator**. (2) Annotations are extracted from the OOIs, and corresponding annotation nodes are created and linked to the core nodes. The component dealing with this phase is the **Graph-Annotator**.
This framework aims to offer researchers a flexible but unified and reproducible way of organizing and maintaining their interlinked document collections in a Corpus Annotation Graph.
## Installation
### Direct install via pip
The package can also be installed directly via pip.
```
pip install cag
```
This will allow you to use the module **`cag`** from any python script locally. The two main packages are **`cag.framework`** and **`cag.view_wrapper`**.
### Manual cloning
Clone the repository, go to the root folder and then run:
```
pip install -e .
```
## Usage
* After the installation, a project scaffold can be created with the command `cag start-project`
* Graph Creation [[jupyter notebook](https://github.com/DLR-SC/corpus-annotation-graph-builder/blob/main/examples/1_create_graph.ipynb)]
* Graph Annotation [[jupyter notebook](https://github.com/DLR-SC/corpus-annotation-graph-builder/blob/main/examples/2_annotate_graph.ipynb)]
## Citation
Please cite us in case you use CAG
@InProceedings{elbaffdemo:2023,
author = {Roxanne {El Baff} and Tobias Hecking and Andreas Hamm and Jasper W. Korte and Sabine Bartsch},
title = {Corpus {A}nnotation {G}raph Builder ({CAG}): An Architectural Framework to Create and Annotate a Multi-source Graph},
booktitle = {The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023): : System Demonstrations },
month = "may",
year = "2023"
address = "Dubrovnik, Croatia",
publisher = "Association for Computational Linguistics",
}
## Zenodo refs
v1.4.0 [](https://zenodo.org/badge/latestdoi/572124344)
نیازمندی
| مقدار | نام |
|---|---|
| - | dataclasses>=0.6 |
| - | spacy>=3.4.1 |
| - | spacy_arguing_lexicon>=0.0.3 |
| - | empath>=0.89 |
| - | pytest>=7.1.2 |
| - | networkx>=2.8.5 |
| - | nltk>=3.4.5 |
| - | pyvis>=0.2.1 |
| - | tqdm>=4.43.0 |
| - | python-arango>=7.4.1 |
| - | pyArango>=2.0.1 |
| - | tomli>=2.0.1 |
| - | transformers>=4.26.1 |
| - | tenacity>=8.2.2 |
| - | pandas |
| - | python-slugify~=6.1.2 |
| - | rich~=12.6.0 |
| - | cookiecutter>=2.1.1 |
| - | pip-tools |
| - | pytest |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.8 | Python |
نحوه نصب
نصب پکیج whl cag-1.5.0:
pip install cag-1.5.0.whl
نصب پکیج tar.gz cag-1.5.0:
pip install cag-1.5.0.tar.gz