In recent years, significant progress has been made in text generation. The latest text
generation models are revolutionizing the domain by generating human-like text. It has …

Abstract Bias in Artificial Intelligence (AI) is a critical and timely issue due to its sociological,
economic and legal impact, as decisions made by biased algorithms could lead to unfair …

Entity Alignment (EA) is a crucial task in knowledge fusion, which aims to link entities with
the same real-world identity from different Knowledge Graphs (KGs). Existing methods have …

Abstract Natural Language Generation (NLG) is one of the most critical yet challenging tasks
in all Natural Language Processing applications. It is a process to automate text generation …

Nowadays, music genre classification is becoming an interesting area and attracting lots of
research attention. Multi-feature model is acknowledged as a desirable technology to realize …

Many key quality variables are difficult to measure in complex industrial processes for
various reasons, such as working conditions or economic costs, leading to inefficient …

As the demand for edge services intensifies, text, being the most common type of data, has
seen a significant expansion in data volume and an escalation in processing complexity …

Conversational recommender systems provide users with item recommendations via
interactive dialogues. Existing methods using graph neural networks have been proven to …

Personal health libraries (PHL) are increasingly becoming the mainstay as a single point for
patient centered health information management and services. However, the transition to a …

Natural Language Processing (NLP) helps process human language computationally.
Recently, automatic datato-text generation, article generation, has received much popularity …