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Source code and data for paper "Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph".

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FLAN Graph for Patent Approval Prediction

Source code and dataset for our paper "Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph"

0. Overview

Code

Our code consists of the following two parts: (1) Scaling up SOTA with LLMs and (2) FLAN Graph.

Data

The PatentAP dataset we use in the paper is on 🤗 Huggingface [link].

1. Scaling up with LLMs

1.1 Embedding-based

The code base for embedding-based training and inference can be found here.

1.2 Prompting-based

The prompt templates we used are provided here.

2. Customized FLAN Graph

The construction process and the saved results of the FLAN Graph can be found here.

Citation

If these codes and data help you, please consider citing us as follows.

@misc{gao2024scaling,
      title={Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph}, 
      author={Xiaochen Kev Gao and Feng Yao and Kewen Zhao and Beilei He and Animesh Kumar and Vish Krishnan and Jingbo Shang},
      year={2024},
      eprint={2404.14372},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

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Source code and data for paper "Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph".

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