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awesome-legal-nlp

📖 A curated list of LegalNLP resources from all around the web.
https://github.com/maastrichtlawtech/awesome-legal-nlp

Last synced: 4 days ago
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  • 🎙 Talks

  • 🗓 Conferences & Workshops

  • 📄 Surveys

  • 🗂 Datasets

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    • 📄 - ai-law-challenge/CAIL2019/tree/master/scm) | Chinese court judgements | 🇨🇳 | 8.9K triplets of cases |
    • 📄 - choice questions |
    • 📄 - ai-law-challenge/CAIL2019) | Chinese court judgements | 🇨🇳 | 50K question-answers from 10K documents |
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    • 📄 - summarization) | US court cases | 🇬🇧 | 92 pairs of (case, summary) from the US Board of Veterans' Appeal |
    • 📄 - ACL2019) | EU court judgments | 🇬🇧 | 11.5K cases w/ 11 outcomes |
    • 📄 - ai-law-challenge/CAIL2018) | Chinese court judgements | 🇨🇳 | 2.6M cases w/ 6 outcomes |
    • 📄 - nllp-21) | Greek legislation | 🇬🇷 | 47.5K laws w/ 2.7K labels |
    • 📄 - eurlex) | EU legislation | 🇬🇧 🇩🇪 🇫🇷 🇮🇹 🇪🇸 (18+) | 65K laws w/ 4.5K labels |
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    • 📄 - answers from 35 documents |
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    • 📄 - of-Privacy-Policies/commit/e6fabba8639593f45cde7d42639a5f354f5d9c3a) | Terms of service | 🇬🇧 | 1.6K pairs of (agreement text, summary) from data privacy policies |
    • 📄 - PfcHzznKUHy2S3jfdITR4D5MD5u/view) | US Congressional bills | 🇬🇧 | 22.2K pairs of (bill, summary) |
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    • 📄 - glue) | 🇬🇧 | Classsification (x6), multiple-choice QA (x1) |
    • 📄 - AI/summarization/tree/aacl/dataset#in-ext) [💾](https://zenodo.org/record/7152317#.Yz6mJ9JByC0) | Indian court cases | 🇬🇧 | 50 pairs of (case, extractive summary) from the Indian Supreme Court |
  • 🔥 Models

    • 📄 - discovery) | 🇬🇧 | {117M, 1.5B} |
    • 📄 - legalbert) [💻](https://github.com/reglab/casehold) | 🇬🇧 | 110M |
    • 📄 - heBERT) [💻](https://github.com/avichaychriqui/Legal-HeBERT) | 🇮🇱 | 110M |
    • 📄 - Legal-BERT)| 🇮🇹 | 110M |
    • 📄 - bigdata.polytechnique.fr/resources#juribert) | 🇫🇷 | {6M, 15M, 42M, 110M} |
    • 📄 - bert-base-uncased) | 🇬🇧 | {35M, 110M} |
    • 📄 - of-law/legalbert-large-1.7M-1) [💻](https://github.com/Breakend/PileOfLaw) | 🇬🇧 | 336M |
  • 📚 Books