In recent years, the volume of textual data has rapidly increased, which has generated a
valuable resource for extracting and analysing information. To retrieve useful knowledge …

With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …

Abstract Automatic Text Summarization (ATS) involves estimating the salience of information
and creating coherent summaries that include all relevant and important information from the …

In this paper, an abstractive Arabic text summarization model that is based on sequence-to-
sequence recurrent neural networks is proposed. It consists of a multilayer encoder and …

The exponential growth of the Web documents has constituted the need for automatic
document summarization. In this context, extractive document summarization, ie, that task of …

Code summarization has long been viewed as a challenge in software engineering because
of the difficulties of understanding source code and generating natural language. Some …

Multimodal sentiment analysis aims to infer the sentiment of video bloggers from the features
of multiple input modalities. However, there are problems such as signal noise and signal …

Prompt-tuning was proposed to bridge the gap between pretraining and downstream tasks,
and it has achieved promising results in Relation Extraction (RE). Although the existing …

The automatic generation of a text summary is a task of generating a short summary for a
relatively long text document by capturing its key information. In the past, supervised …

Polarity prediction is the field of study that discovers people's opinions, feelings,
assessments, perspectives and feelings about associations and their attributes as …