NLP Event Detection Repository

This repository contains an NLP project focused on solving the Event Detection Problem. The project involves implementing two approaches to address the problem: one based on a common baseline approach (common-baseline.ipynb) and the other utilizing a model-based solution (ModelTraining.ipynb).

Project Files

• common-baseline.ipynb: This Jupyter notebook presents an approach to solving the problem without utilizing neural networks. It demonstrates a common baseline method for addressing the Event Detection NLP problem.
• ModelTraining.ipynb: This Jupyter notebook provides the model-based approach to solve the problem. It showcases the process of training a model, leveraging neural networks or similar techniques.

Usage

1. Clone the repository to your local machine:

   git clone https://github.com/Feedback02/NLP_EventDetection.git

2. Open and explore the Jupyter notebooks (common-baseline.ipynb and ModelTraining.ipynb) using Jupyter Notebook or a compatible environment.
3. Follow the instructions within the notebooks to understand the approaches and methodologies used for solving the NLP problem.

Feel free to modify and experiment with the code to suit your specific requirements and enhance the project.

License

This project is licensed under the MIT License - see the LICENSE file for details.