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Main Authors: Blume, Matthias, Heidari, Ghobad, Hewel, Christoph
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2407.10351
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author Blume, Matthias
Heidari, Ghobad
Hewel, Christoph
author_facet Blume, Matthias
Heidari, Ghobad
Hewel, Christoph
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2407_10351
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Comparing Complex Concepts with Transformers: Matching Patent Claims Against Natural Language Text
Blume, Matthias
Heidari, Ghobad
Hewel, Christoph
Computation and Language
I.2.7
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.
title Comparing Complex Concepts with Transformers: Matching Patent Claims Against Natural Language Text
topic Computation and Language
I.2.7
url https://arxiv.org/abs/2407.10351