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YAML Metadata Warning:The task_categories "relation-extraction" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
EUR-Lex-Triples: A Legal Relation Extraction Dataset from European Legislation
EUR-Lex-Sum dataset Aumiller, 2022 annotated with triples
Relation Extraction Baselines
Code/RE-Baselinescontains the code used to run the RE baselines : Fine-Tuning and Inference.- Results of baseline models for Relation Extraction are :
| Model | Precision | Recall | F1-Score |
|---|---|---|---|
| Legal-Bert | 0.64 | 0.59 | 0.60 |
| Bert | 0.58 | 0.52 | 0.54 |
| Rebel-Large | 0.88 | 0.75 | 0.80 |
| Mistral 7b zero-Shot | 0.38 | 0.30 | 0.33 |
| Mistral 7b In-Context | 0.42 | 0.36 | 0.38 |
| Mistral 7b Finetuning | 0.84 | 0.69 | 0.75 |
| Zephyr 7b Zero-Shot | 0.40 | 0.36 | 0.37 |
| Zephyr 7b In-Context | 0.52 | 0.44 | 0.47 |
| Zephyr 7b Finetuning | 0.85 | 0.61 | 0.71 |
| Llama 2 13b Zero-Shot | 0.31 | 0.25 | 0.27 |
| Llama 2 13b In-Context | 0.33 | 0.29 | 0.30 |
| Llama 2 13b Finetuning | 0.82 | 0.61 | 0.69 |
Citation
EUR-Lex-Triples: A Legal Relation Extraction Dataset from European Legislation. Paper accepted at TPDL 2025.
Licence
Copyright for the editorial content of EUR-Lex website, the summaries of EU legislation and the consolidated texts owned by the EU, are licensed under the Creative Commons Attribution 4.0 International licence, i.e., CC BY 4.0 as mentioned on the official EUR-Lex website. Any data artifacts remain licensed under the CC BY 4.0 license.
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