In communication, textual data are a vital attribute. In all languages, ambiguous or
polysemous words' meaning changes depending on the context in which they are used. The …

Text summarization is the process of creating a text summary that contains important
information from a text document. In recent years, significant progress has been made in the …

Data preprocessing is among the principal stages in virtually all text-based tasks. In this
light, recent approaches have employed word embeddings in the majority of text-based …

Using pre-trained transformer models such as BERT has proven to be effective in many NLP
tasks. This paper presents our work to fine-tune BERT models for Arabic Word Sense …

Accurate assignment of meaning to a word based on its context, known as Word Sense
Disambiguation (WSD), remains challenging across languages. Extensive research aims to …

Interactions via social media platforms have made it possible for anyone, irrespective of
physical location, to gain access to quick information on events taking place all over the …

Semantic relatedness between words is a core concept in natural language processing.
While countless approaches have been proposed, measuring which one works best is still a …

Word Sense Disambiguation (WSD) aims to predict the correct sense of a word given its
context. This problem is of extreme importance in Arabic, as written words can be highly …

This paper presents a set of experiments to evaluate and compare between the performance
of using CBOW Word2Vec and Lemma2Vec models for Arabic Word-in-Context (WiC) …

Paraphrase is the act of reusing original texts without proper citation of the source. Different
obfuscation operations can be employed such as addition/deletion of words, synonym …