katrjohn/GreekNewsBert
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Dataset description
This dataset space is a guide on how to make a similar dataset to the one used in the article: Named Entity Recognition and News Article Classification: A Lightweight Approach.
Steps to Create Your Own Dataset
- data_collection
- preprocessing
- labels
- splits
Each step is organized in its own folder, containing:
- A Readme.txt with instructions and explanations.
- A Jupyter notebook to guide you through the process interactively.
It is also importand to note that the true labels for NER will be created using the elNER18 model.
Author
This guide have been released along side with the article: Named Entity Recognition and News Article Classification: A Lightweight Approach.
To use this guide please cite the following:
@ARTICLE{11148234,
author={Katranis, Ioannis and Troussas, Christos and Krouska, Akrivi and Mylonas, Phivos and Sgouropoulou, Cleo},
journal={IEEE Access},
title={Named Entity Recognition and News Article Classification: A Lightweight Approach},
year={2025},
volume={13},
number={},
pages={155031-155046},
keywords={Accuracy;Transformers;Pipelines;Named entity recognition;Computational modeling;Vocabulary;Tagging;Real-time systems;Benchmark testing;Training;Distilled transformer;edge-deployable model;multiclass news-topic classification;named entity recognition},
doi={10.1109/ACCESS.2025.3605709}}
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