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英文字典中文字典相关资料:


  • TheAtticusProject cuad: CUAD (NeurIPS 2021) - GitHub
    We provide checkpoints for three of the best models fine-tuned on CUAD: RoBERTa-base (~100M parameters), RoBERTa-large (~300M parameters), and DeBERTa-xlarge (~900M parameters) Researchers may be interested in several gigabytes of unlabeled contract pretraining data, which is available here
  • Explained: CUAD, The Dataset For Legal NLP
    CUAD can not only reduce cost but train NLP models with excellent efficiency to help overcome these challenges Researchers experimented with several state-of-the-art Transformer models on CUAD The result showed overall improvement in precision (upto 80%), recall value, and performance
  • theatticusproject cuad · Datasets at Hugging Face
    To facilitate work with prior work and existing language models, we also provide an additional format of the data that is similar to datasets such as SQuAD 2 0 In particular, each contract is broken up into paragraphs, then for each provision category a model must predict the span of text (if any) in that paragraph that corresponds to that
  • CUADv1 Annoucements - atticus-project
    In collaboration with UC Berkeley AI researchers, we tested CUAD v1 against nine sophisticated pretrained language models The results validated our assumption that high-quality labeled dataset is the bottleneck for contract review AI
  • CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review
    With CUAD, models can learn to automatically extract and identify key clauses from contracts To reduce the disparate societal costs of contract review, and to study how well NLP models generalize to specialized domains, we introduce a new large-scale dataset for contract review
  • CUAD: An Expert-Annotated NLP Dataset for . . . - ResearchGate
    To address these problems, we present two parameter-reduction techniques to lower memory consumption and increase the training speed of BERT (Devlin et al , 2019) Comprehensive empirical
  • How to Set up a Machine Learning Model for Legal Contract . . .
    After running these commands you should have the following three folders in your main project folder: cuad-data which contains the actual CUAD dataset, cuad-models which contains the model(s), and cuad-training which contains the Python scripts and shell scripts to train the model





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