mlsanityData to 14 Oct 2026

BERT based freedom to operate patent analysis

arXiv 2105.00817 ↗First posted 12 Apr 2021cs.CL cs.LG econ.EMcited by 1

Not on the map. Why?

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

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2019How to Fine-Tune BERT for Text Classification?cited by 411
  4. 2020Prior Art Search and Reranking for Generated Patent Textcited by 8
  5. 2019Deep Patent Landscaping Model Using Transformer and Graph Embeddingcited by 4
  6. 2021BERT based patent novelty search by training claims to their own descriptioncited by 2

Built on by

Cited by year

Citing papers per year: 2024: 1.

1 paper.