Retrieval-information-by-using-Search-Engines-technique-for-System-of-Labor-dataset The Arabic language is one of the most widely spoken languages al around the globe. A wide variety of natural language processing experts have tried to work on it to understand its linguistic complexity. When we consider text processing and its applications we surely come across question answering systems. In this paper, we organized the data in the System of Labor in the Ministry of Human Resources and Social Development into a free form-based format is available to be used also, we are presenting a question answering system for the system of labor laws in Saudi Arabia dataset, our system works by retrieving the relevant information to a user based search query. We achieved very high rouge scores and the model was tested on several user queries.
We have been worked using the System of Labor dataset available on the website of the Ministry of Human Resources and Social Development in the Kingdom of Saudi Arabia. The dataset contains 245 articles divided into six sections. This type of dataset known as primary data that has been collected from the first-hand experience. Primary data has not been published before and is more reliable, authentic, and objective.
- The code.ipynb Jupyter notebook that includes all the code.
- The dataset folder contains the dataset.
If you find this dataset useful for your research, please cite our paper: https://link.springer.com/chapter/10.1007/978-3-030-82562-1_31
If you have any suggestions or questions, please reach out to sadeem1.alharthi on Gmail