Summarisation of German Judgments in conjunction with a Class-based Evaluation
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866912367630090240 |
|---|---|
| author | Steffes, Bianca Wiedemann, Nils Torben Gratz, Alexander Hochreither, Pamela Meyer, Jana Elina Schilke, Katharina Luise |
| author_facet | Steffes, Bianca Wiedemann, Nils Torben Gratz, Alexander Hochreither, Pamela Meyer, Jana Elina Schilke, Katharina Luise |
| contents | The automated summarisation of long legal documents can be a great aid for legal experts in their daily work. We automatically create summaries (guiding principles) of German judgments by fine-tuning a decoder-based large language model. We enrich the judgments with information about legal entities before the training. For the evaluation of the created summaries, we define a set of evaluation classes which allows us to measure their language, pertinence, completeness and correctness. Our results show that employing legal entities helps the generative model to find the relevant content, but the quality of the created summaries is not yet sufficient for a use in practice. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_05947 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Summarisation of German Judgments in conjunction with a Class-based Evaluation Steffes, Bianca Wiedemann, Nils Torben Gratz, Alexander Hochreither, Pamela Meyer, Jana Elina Schilke, Katharina Luise Computation and Language The automated summarisation of long legal documents can be a great aid for legal experts in their daily work. We automatically create summaries (guiding principles) of German judgments by fine-tuning a decoder-based large language model. We enrich the judgments with information about legal entities before the training. For the evaluation of the created summaries, we define a set of evaluation classes which allows us to measure their language, pertinence, completeness and correctness. Our results show that employing legal entities helps the generative model to find the relevant content, but the quality of the created summaries is not yet sufficient for a use in practice. |
| title | Summarisation of German Judgments in conjunction with a Class-based Evaluation |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2505.05947 |