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--- |
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license: cc-by-nc-4.0 |
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language: |
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- en |
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--- |
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## Introduction |
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The model is used to evaluate the quality of a candidate patent claim compared to the gold claim. |
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## Example Usage |
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```python |
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from transformers import AutoModel, AutoTokenizer |
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import torch |
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') |
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tokenizer = AutoTokenizer.from_pretrained("lj408/PatClaimEval-Quality", trust_remote_code=True) |
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model = AutoModel.from_pretrained("lj408/PatClaimEval-Quality", trust_remote_code=True).to(device) |
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gold_claim = "1. A computer-implemented method comprising: identifying a primary code segment; ..." |
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candidate_claim = "1. A computer-implemented method for managing logger source code segments in a source code development platform, ..." |
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res = model.score_pair(gold_claim, candidate_claim , tokenizer, device) |
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print(res) |
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``` |
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Note that this evaluation method can serve as a reference, but it may not be accurate in all cases. Users should rely on evaluations by patent professionals for more precise results. |
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## Citation |
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If you use this model or code, please cite our paper: |
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``` |
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@article{jiang2025towards, |
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title={Towards Better Evaluation for Generated Patent Claims}, |
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author={Jiang, Lekang and Scherz, Pascal A and Goetz, Stephan}, |
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journal={arXiv preprint arXiv:2505.11095}, |
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year={2025} |
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} |
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``` |
