Estimating the semantic similarity between text data is one of the challenging and open
research problems in the field of Natural Language Processing (NLP). The versatility of …

This article summarizes the research on computational methods to detect academic
plagiarism by systematically reviewing 239 research papers published between 2013 and …

Word embeddings have recently gained considerable popularity for modeling words in
different Natural Language Processing (NLP) tasks including semantic similarity …

Contextual representations of words derived by neural language models have proven to
effectively encode the subtle distinctions that might occur between different meanings of the …

Owing to the need for a deep understanding of linguistic items, semantic representation is
considered to be one of the fundamental components of several applications in Natural …

Motivation The amount of information available in textual format is rapidly increasing in the
biomedical domain. Therefore, natural language processing (NLP) applications are …

Named Entity Disambiguation is the task of assigning entities from a Knowledge Graph (KG)
to mentions of such entities in a textual document. The state-of-the-art for this task balances …