In the rapidly evolving domain of Natural Language Generation (NLG) evaluation,
introducing Large Language Models (LLMs) has opened new avenues for assessing …

The surge in text data has driven extensive research into developing diverse automatic
summarization approaches to effectively handle vast textual information. There are several …

The Metaverse, an interconnected network of immersive digital realms, is poised to reshape
the future by seamlessly merging physical reality with virtual environments. Its potential to …

Obtaining high-quality, diverse, accurate datasets for sentiment analysis has always been a
significant challenge. Traditional approaches include annotators, which may introduce bias …

User stories are the lifeblood of agile software development due to their semi-structured
format and ease of implementation. However, the variety of data sources and textual formats …

With the release of ChatGPT at the end of 2022, a new era of thinking and technology use
has begun. Artificial intelligence models (AIs) like Gemini (Bard), Copilot (Bing), and …

Emotion plays a vital part in the life of humankind. Emotion Recognition (ER) is the
necessary task to find one's inner Emotion through speech, text or face. ER process has …

Text generation has become more accessible than ever, and the increasing interest in these
systems, especially those using large language models, has spurred an increasing number …

This paper presents a sentence generation pipeline as implemented on the online job board
Stepstone. The goal is to automatically create a set of sentences for the candidate profile …

The large need of standard maintenance documents (SMD) for metallurgical continuous
casting equipments brings a lot of repetitive, time-consuming and laborious work. Therefore …