[HTML][HTML] 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 …
Automated classification of patents: A topic modeling approach
J Yun, Y Geum - Computers & Industrial Engineering, 2020 - Elsevier
Due to the rapid increase in technological innovation and corresponding increase in patent
applications, automatic patent classification systems are very helpful for both individual …
applications, automatic patent classification systems are very helpful for both individual …
Deep learning for patent landscaping using transformer and graph embedding
Patent landscaping is used to search for related patents during research and development
projects. Patent landscaping is a crucial task required during the early stages of an R & D …
projects. Patent landscaping is a crucial task required during the early stages of an R & D …
The harvard uspto patent dataset: A large-scale, well-structured, and multi-purpose corpus of patent applications
Innovation is a major driver of economic and social development, and information about
many kinds of innovation is embedded in semi-structured data from patents and patent …
many kinds of innovation is embedded in semi-structured data from patents and patent …
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 …
A comparative study of abstractive and extractive summarization techniques to label subgroups on patent dataset
CM Souza, MRG Meireles, PEM Almeida - Scientometrics, 2021 - Springer
Patents are an important source of information for measuring the technological
advancement of a specific knowledge domain. To facilitate the search for information in …
advancement of a specific knowledge domain. To facilitate the search for information in …
Evolutionary learning of selection hyper-heuristics for text classification
JJE Ramírez, JC Gomez - Applied Soft Computing, 2023 - Elsevier
This paper introduces an evolutionary model in the scope of automated machine learning.
This model is in charge of learning hyper-heuristics that represent selection rules of the form …
This model is in charge of learning hyper-heuristics that represent selection rules of the form …
Semantic similarity measure of natural language text through machine learning and a keyword‐aware cross‐encoder‐ranking summarizer—A case study using …
Abstract Initiated by the University Consortium of Geographic Information Science (UCGIS),
the GIS&T Body of Knowledge (BoK) is a community‐driven endeavor to define, develop …
the GIS&T Body of Knowledge (BoK) is a community‐driven endeavor to define, develop …
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 …
Patent text modeling strategy and its classification based on structural features
Z Ruijie, X Ying, J Shuaichen, L Yonghe - World Patent Information, 2021 - Elsevier
To find the optimal combination of text modeling for rapid and accurate classification of
patent texts and solve the severe problem of manual classification of patent texts in the face …
patent texts and solve the severe problem of manual classification of patent texts in the face …