A survey on deep learning for patent analysis

R Krestel, R Chikkamath, C Hewel, J Risch - World Patent Information, 2021 - Elsevier
Patent document collections are an immense source of knowledge for research and
innovation communities worldwide. The rapid growth of the number of patent documents …

PatentNet: multi-label classification of patent documents using deep learning based language understanding

A Haghighian Roudsari, J Afshar, W Lee, S Lee - Scientometrics, 2022 - Springer
Patent classification is an expensive and time-consuming task that has conventionally been
performed by domain experts. However, the increase in the number of filed patents and the …

Deep learning for technical document classification

S Jiang, J Hu, CL Magee, J Luo - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In large technology companies, the requirements for managing and organizing technical
documents created by engineers and managers have increased dramatically in recent …

An ensemble framework for patent classification

E Kamateri, M Salampasis, K Diamantaras - World Patent Information, 2023 - Elsevier
An important task when a patent application arrives at a patent office is to assign one or
more classification codes. This manual, intellectually demanding task needs to be supported …

Will AI solve the patent classification problem?

E Kamateri, M Salampasis, E Perez-Molina - World Patent Information, 2024 - Elsevier
This paper scrutinizes the act of patent classification as it is performed by specialists, namely
patent examiners, and currently supported by automated systems in patent offices for …

Patentmatch: a dataset for matching patent claims & prior art

J Risch, N Alder, C Hewel, R Krestel - arXiv preprint arXiv:2012.13919, 2020 - arxiv.org
Patent examiners need to solve a complex information retrieval task when they assess the
novelty and inventive step of claims made in a patent application. Given a claim, they search …

GACaps-HTC: graph attention capsule network for hierarchical text classification

J Bang, J Park, J Park - Applied Intelligence, 2023 - Springer
Hierarchical text classification has been receiving increasing attention due to its vast range
of applications in real-world natural language processing tasks. While previous approaches …

A multi-task approach to neural multi-label hierarchical patent classification using transformers

SC Pujari, A Friedrich, J Strötgen - … on IR Research, ECIR 2021, Virtual …, 2021 - Springer
With the aim of facilitating internal processes as well as search applications, patent offices
categorize documents into taxonomies such as the Cooperative Patent Categorization. This …

Reliable multi-view deep patent classification

L Zhang, W Liu, Y Chen, X Yue - Mathematics, 2022 - mdpi.com
Patent classification has long been regarded as a crucial task in patent information
management and patent knowledge mining. In recent years, studies combining deep …

Hierarchical document classification as a sequence generation task

J Risch, S Garda, R Krestel - Proceedings of the ACM/IEEE Joint …, 2020 - dl.acm.org
Hierarchical classification schemes are an effective and natural way to organize large
document collections. However, complex schemes make the manual classification time …