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| Format: | Recurso digital |
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2025
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| Online Access: | https://doi.org/10.5281/zenodo.14783454 |
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| _version_ | 1866902233304530944 |
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| author | Simona Bisiani |
| author_facet | Simona Bisiani |
| contents | <p>This release corresponds to a Zenodo release. It includes the code and data associated with our forthcoming paper "Towards Efficient and Accessible Geoparsing of UK Local Media: A Benchmark Dataset and LLM-based Approach".</p> <p>Key components of this release:</p> <ul> <li><strong>LMUK-Geo Dataset:</strong> The annotated dataset of UK local news articles used in our research. This dataset is also available directly on Harvard Dataverse: https://doi.org/10.7910/DVN/SGVXIU.</li> <li><strong>Geoparsing Code:</strong> The R and Python scripts used for our LLM-driven geoparsing approach, including code for data preprocessing, model training, and evaluation.</li> </ul> <p>For detailed information on how to use the code and dataset, please refer to the README file in this repository.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14783454 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | simonabisiani/LMUK-Geo: LMUK-Geo v1.0 Simona Bisiani <p>This release corresponds to a Zenodo release. It includes the code and data associated with our forthcoming paper "Towards Efficient and Accessible Geoparsing of UK Local Media: A Benchmark Dataset and LLM-based Approach".</p> <p>Key components of this release:</p> <ul> <li><strong>LMUK-Geo Dataset:</strong> The annotated dataset of UK local news articles used in our research. This dataset is also available directly on Harvard Dataverse: https://doi.org/10.7910/DVN/SGVXIU.</li> <li><strong>Geoparsing Code:</strong> The R and Python scripts used for our LLM-driven geoparsing approach, including code for data preprocessing, model training, and evaluation.</li> </ul> <p>For detailed information on how to use the code and dataset, please refer to the README file in this repository.</p> |
| title | simonabisiani/LMUK-Geo: LMUK-Geo v1.0 |
| url | https://doi.org/10.5281/zenodo.14783454 |