In recent years, knowledge graphs (KGs) have been widely applied in various domains for
different purposes. The semantic model of KGs can represent knowledge through a …

COVID-19 vaccines have been largely debated by the press. To understand how
mainstream and alternative media debated vaccines, we introduce a paradigm …

Currently, there is a large amount of text being shared through the Internet. These texts are
available in different forms—structured, unstructured and semi structured. There are different …

Mindset reconstruction maps how individuals structure and perceive knowledge, a map
unfolded here by investigating language and its cognitive reflection in the human mind, ie …

Monitoring social discourse about COVID-19 vaccines is key to understanding how large
populations perceive vaccination campaigns. This work reconstructs how popular and …

Abstract Community Question Answering (CQA) allows users to ask or answer questions in
a social way, so it is becoming the primary means for people acquiring knowledge …

Background In psychological services, the transition to the disclosure of ideation about self-
harm and suicide (ISS) is a critical point warranting attention. This study developed and …

Nowadays, rapid access to the text data on the internet, and simplicity in modifying them,
made plagiarism a serious problem. Similarity detection is an approach to identifying …

Effectively detecting supportive knowledge of answers is a fundamental step towards
automated question answering. While pre-trained semantic vectors for texts have enabled …

Semantic representation reflects the meaning of the text as it may be understood by humans.
Thus, it contributes to facilitating various automated language processing applications …