This paper presents the Graded Word Similarity in Context (GWSC) task which asked
participants to predict the effects of context on human perception of similarity in English …

Despite great progress in the digitization of the industrial sector through Industry 4.0 and
widely available data, data analysis is typically constrained to numerical data, not the …

Abstract In text categorization, Vector Space Model (VSM) has been widely used for
representing documents, in which a document is represented by a vector of terms. Since …

The COVID-19 pandemic has escalated mental health crises worldwide, with social isolation
and economic instability contributing to a rise in suicidal behavior. Suicide can result from …

This paper introduces the system description of the hub team, which explains the related
work and experimental results of our team's participation in SemEval 2021 Task 2 …

Representation Learning for Generative Models with Applications to Healthcare, Astronautics, and
Aviation Page 1 Florida Institute of Technology Scholarship Repository @ Florida Tech Theses …

The rise of social platforms has led to an increase in hateful, racist and sexist comments,
impacting mental health and well-being. Detecting sexist texts automatically is a crucial first …

People can now more easily express their opinions and ideas to a wider audience through
social media platforms such as Twitter, Facebook, and Instagram. Among these social media …

Help documents are important in an organization to use the applications published by the
company. Customers and internal employees frequently use and interact with the help …

Literature on the cognitive and psychological mechanisms by which context affects the
meaning of words tells us about subtle effects like meaning modulation and salience …