Patent document collections are an immense source of knowledge for research and
innovation communities worldwide. The rapid growth of the number of patent documents …

Artificial intelligence (AI) is an area of increasing scholarly and policy interest. To help
researchers, policymakers, and the public, this paper describes a novel dataset identifying …

The text-based patent analysis is grounded in information extraction technique. However,
such technique suffers from obvious defects such as low degree of automation and …

The increasing number of patents leads patent applicants and examiners to spend more
time and cost on searching and citing prior patents. Deep learning has exhibited outstanding …

Patent, a form of intellectual property often be in the first place when it comes to securing an
invention. The legal boundaries created then will become key stages of turning an invention …

Big data is increasingly available in all areas of manufacturing, which presents value for
enabling a competitive data-driven economy. Increased data availability presents an …

Model scaling is becoming the default choice for many language tasks due to the success of
large language models (LLMs). However, it can fall short in specific scenarios where simple …

Information extraction is an important foundation for automated patent analysis. Deep
learning methods show promising results for information extraction, the performance of such …

To further enhance the accuracy of the Chinese patent classification, this paper proposes a
model, based on the patent structure and takes the patent claim as subjects, with multi …

In this paper we present a method to concatenate patent claims to their own description. By
applying this method, BERT trains suitable descriptions for claims. Such a trained BERT …