The development of key technologies of knowledge graph (KG) has promoted the
development of machine cognition technology, and the combination of KG and industry as …

With the rapid development of Internet technology and the advent of the era of big data,
more and more cyber security texts are provided on the Internet. These texts include not only …

Digitization in healthcare systems, with the wid adoption of Electronic Health Records,
connected medical devices, software and systems providing efficient healthcare service …

We introduce CyBERT, a cybersecurity feature claims classifier based on bidirectional
encoder representations from transformers and a key component in our semi-automated …

The amount of archaeological literature is growing rapidly. Until recently, these data were
only accessible through metadata search. We implemented a text retrieval engine for a large …

We present WojoodNER-2024, the second Arabic Named Entity Recognition (NER) Shared
Task. In WojoodNER-2024, we focus on fine-grained Arabic NER. We provided participants …

Traditional NER systems are typically trained to recognize coarse-grained entities, and less
attention is given to classifying entities into a hierarchy of fine-grained lower-level subtypes …

Abstract Named Entity Recognition (NER) for cyber security aims to identify and classify
cyber security terms from a large number of heterogeneous multisource cyber security texts …

Nowadays the amount of cybersecurity data grows quickly on the Internet, however most of
them are textual unstructured data, which is hard for security analysis to understand in time …

A vast majority of cyber security information is in the form of unstructured text. A much-
needed task is to have a machine-assisted analysis of such information. Named Entity …