Abstract Foundation and Large Language Models (FLLMs) are models that are trained using
a massive amount of data with the intent to perform a variety of downstream tasks. FLLMs …

In this study, we propose a graph convolution network (GCN)-based patent-link prediction to
predict technology convergence. We address the limitations of previous works, which …

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 …

The proliferation of network attacks poses a significant threat. Researchers propose datasets
for network attacks to support research in related fields. Then, many attack detection …

Accurate prediction of what types of patents that companies will apply for in the next period
of time can figure out their development strategies and help them discover potential partners …

Functional style (FS) identification is a classification task in linguistics that categorizes
unrestricted texts into several categories of linguistic norms. FS is widely used to attain a …

Patent classification has long been treated as a crucial task to support related services.
Though large efforts have been made on the automatic patent classification task, those prior …

Patent litigation is an expensive and time-consuming legal process. To reduce costs,
companies can proactively manage patents using predictive analysis to identify potential …

Patent classification has long been regarded as a crucial task in patent information
management and patent knowledge mining. In recent years, studies combining deep …

The handwritten character recognition process has gained significant attention among
research communities due to its application in assistive technologies for visually impaired …