A survey on deep learning for patent analysis
Patent document collections are an immense source of knowledge for research and
innovation communities worldwide. The rapid growth of the number of patent documents …
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
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 …
performed by domain experts. However, the increase in the number of filed patents and the …
Deep learning for technical document classification
In large technology companies, the requirements for managing and organizing technical
documents created by engineers and managers have increased dramatically in recent …
documents created by engineers and managers have increased dramatically in recent …
An ensemble framework for patent classification
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 …
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 …
patent examiners, and currently supported by automated systems in patent offices for …
Patentmatch: a dataset for matching patent claims & prior art
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 …
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 …
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
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 …
categorize documents into taxonomies such as the Cooperative Patent Categorization. This …
Hierarchical document classification as a sequence generation task
Hierarchical classification schemes are an effective and natural way to organize large
document collections. However, complex schemes make the manual classification time …
document collections. However, complex schemes make the manual classification time …