Comparing Complex Concepts with Transformers: Matching Patent Claims Against Natural Language Text
<|reference_start|>Comparing Complex Concepts with Transformers: Matching Patent Claims Against Natural Language Text: A key capability in managing patent applications or a patent portfolio is comparing claims to other text, e.g. a patent specification. Because the language of claims is different from language used elsewhere in the patent application or in non-patent text, this has been challenging for computer based natural language processing. We test two new LLM-based approaches and find that both provide substantially better performance than previously published values. The ability to match dense information from one domain against much more distributed information expressed in a different vocabulary may also be useful beyond the intellectual property space.<|reference_end|>
@article{blume2024comparing,
    title={Comparing Complex Concepts with Transformers: Matching Patent Claims
  Against Natural Language Text},
    author={Matthias Blume, Ghobad Heidari, and Christoph Hewel},
    journal={arXiv preprint arXiv:2407.10351},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.10351},
    primaryClass={cs.CL}
}