# Patent Search Using Triplet Networks Based Fine-Tuned SciBERT

arXiv: https://arxiv.org/abs/2207.11497 · HTML: https://mlsanity.com/paper/2207.11497/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Jul 2022.

## Built on by (most cited first, 1 of 1)

- [From Rules to Neural Graphs: Scalable Structured Prediction for Patent Prior Art Search](https://mlsanity.com/paper/2610.01553/) (2026)

## Abstract (arXiv)

In this paper, we propose a novel method for the prior-art search task. We fine-tune SciBERT transformer model using Triplet Network approach, allowing us to represent each patent with a fixed-size vector. This also enables us to conduct efficient vector similarity computations to rank patents in query time. In our experiments, we show that our proposed method outperforms baseline methods.