Obtaining meaning-rich representations of social media inputs, such as Tweets
(unstructured and noisy text), from general-purpose pre-trained language models has …

With the recent popularity of applying large-scale deep neural network-based models for
natural language processing (NLP), attention to develop methods for text data augmentation …

Manual and high-quality annotation of social media data has enabled companies and
researchers to develop improved implementations using natural language processing …

Agriculture makes up for about 50% of the total workforce in India while contributing to
approximately 20% of the Gross Domestic Product (GDP) as of 2021. Due to the lack of …

Abstract Natural Language Processing (NLP) is one of the major branches in the emerging
field of Artificial Intelligence (AI). Classical approaches in this area were mostly based on …

Information extraction from multilingual text for conversational AI generally implements
natural language understanding (NLU) using multiple language-specific models, which may …

In this paper, we explore the mining of users' intentions in text. We viewed that being able to
identify the intentions of users expressed in textual data provides us to specifically know …

The proliferation of generative artificial intelligence (GenAI)-based systems with embedded
large language models (LLM) has raised the interest of organizations in leveraging their …

This study aims to develop a visual novel game in which the user can actively interact with
an NPC by entering their own response rather than selecting dialogue options, as well as to …

Digital connectivity is revolutionising people's quality of life. As broadband and mobile
services become faster and more prevalent globally than before, people have started to …