BERT based freedom to operate patent analysis
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Abstract (arXiv)
In this paper we present a method to apply BERT to freedom to operate patent analysis and patent searches. According to the method, BERT is fine-tuned by training patent descriptions to the independent claims. Each description represents an invention which is protected by the corresponding claims. Such a trained BERT could be able to identify or order freedom to operate relevant patents based on a short description of an invention or product. We tested the method by training BERT on the patent class G06T1/00 and applied the trained BERT on five inventions classified in G06T1/60, described via DOCDB abstracts. The DOCDB abstract are available on ESPACENET of the European Patent Office.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 6 of its 16 references that are in the map. First posted on arXiv 12 Apr 2021.
Builds on
6 of 16 references.
References · 6
- 2017Attention Is All You Needcited by 60,361
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2019How to Fine-Tune BERT for Text Classification?cited by 411
- 2020Prior Art Search and Reranking for Generated Patent Textcited by 8
- 2019Deep Patent Landscaping Model Using Transformer and Graph Embeddingcited by 4
- 2021BERT based patent novelty search by training claims to their own descriptioncited by 2
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Citing papers per year: 2024: 1.
1 paper.
- 2024Natural Language Processing in the Patent Domain: A Surveycited by 20