Driven by the increasing scale and high profile cybersecurity incidents related public data,
recent years we have witnessed a paradigm shift in understanding and defending against …

Knowledge sharing about emerging threats is crucial in the rapidly advancing field of
cybersecurity and forms the foundation of Cyber Threat Intelligence (CTI). In this context …

In this study, we investigate the problem of named entity recognition for tweets. Named entity
recognition is an important task in natural language processing and has been carefully …

Visual contexts often help to recognize named entities more precisely in short texts such as
tweets or snapchat. For example, one can identify" Charlie''as a name of a dog according to …

Social media is often viewed as a sensor into various societal events such as disease
outbreaks, protests, and elections. We describe the use of social media as a crowdsourced …

This paper presents the results of the Twitter Named Entity Recognition shared task
associated with W-NUT 2016: a named entity tagging task with 10 teams participating. We …

Organizations depend on heavy use of various cyber defense technologies, including
intrusion detection and prevention systems, to monitor and protect networks and devices …

Named Entity Recognition (NER) in social media posts is challenging since texts are usually
short and contexts are lacking. Most recent works show that visual information can boost the …

Multimodal named entity extraction is an emerging task which uses both textual and visual
information to detect named entities and identify their entity types. The existing efforts are …

Named Entity Recognition (NER) in the healthcare domain involves identifying and
categorizing disease, drugs, and symptoms for biosurveillance, extracting their related …