semvec/pypi-packages huggingface dataset:
cltl.entity-linking 0.0.dev1
The Leolani Language module for identifying instances
License: MIT License
Requires Python: >=3.7

# cltl-knowledgelinking

The Leolani instance identification package. Module for entity linking.

## Description

This package takes in a capsule and returns it with assigned URIs for the entities and/or predicates.

## Getting started

### Prerequisites

This repository uses Python >= 3.7

Be sure to run in a virtual python environment (e.g. conda, venv, mkvirtualenv, etc.)

### Installation

1. In the root directory of this repo run

    ```bash
    pip install -e .
    ```

### Usage

For using this repository as a package different project and on a different virtual environment, you may

- install a published version from PyPI:

    ```bash
    pip install cltl.entity_linking
    ```

- or, for the latest snapshot, run:

    ```bash
    pip install git+git://github.com/leolani/cltl-knowledgelinking.git@main
    ```

Then you can import it in a python script as:

    import cltl.entity_linking

## Examples

Please take a look at the example scripts provided to get an idea on how to run and use this package. Each example has a
comment at the top of the script describing the behaviour of the script.

For these example scripts, you need

1. To change your current directory to ./examples/

1. Run some examples (e.g. python label_based.py)

## Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any
contributions you make are **greatly appreciated**.

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request

## License

Distributed under the MIT License. See [`LICENSE`](https://github.com/leolani/cltl-knowledgelinking/blob/main/LICENCE)
for more information.

## Authors

* [Selene Báez Santamaría](https://selbaez.github.io/)
* [Thomas Baier](https://www.linkedin.com/in/thomas-baier-05519030/)
* [Piek Vossen](https://github.com/piekvossen)