Skim-Literature is a project for skimming through scientific papers to extract important information from them using Natural Language Processing techniques. This can help researchers and students save time by quickly summarizing key findings, conclusions, and insights from large volumes of literature.
- Clone the repository:
git clone https://github.com/ekrrems/Skim-Literature.git
- Navigate to the project directory:
cd Skim-Literature
- Install the required dependencies using pip:
pip install -r requirements.txt
Contributions to Skim-Literature are welcome and appreciated! If you would like to contribute, please follow these steps:
- Fork the repository and clone it to your local machine.
- Create a new branch for your feature or bug fix.
- Implement your changes, including unit tests and documentation.
- Commit your changes and push the branch to your forked repository.
- Open a pull request and describe your changes in detail.
Skim-Literature is released under the MIT License.