Creativity is a major source of innovation, growth, adaptability, and psychological resilience,
making it a top priority of governments, global corporations, educational institutions, and …

We conjecture that creativity and the perception of creativity are, at least to some extent,
shaped by embodiment. This makes embodiment highly relevant for Computational …

The existence of multiple datasets for sarcasm detection prompts us to apply transfer
learning to exploit their commonality. The adversarial neural transfer (ANT) framework …

Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is
commonly used on social media. The metaphorical and creative nature of sarcasm presents …

Computational creativity (CC) seeks to endow artificial systems with creativity. Although
human creativity is known to be substantially driven by intrinsic motivation (IM), most CC …

The human condition can be characterised as the most essential characteristics, events and
situations which describe human existence. We propose that a parallel discussion of the …

Large data-driven image models are extensively used to support creative and artistic work.
Under the currently predominant distribution-fitting paradigm, a dataset is treated as ground …

Despite significant transformations in most domains of activities, there might still be some
constancies in the creative spaces explored throughout history. This paper introduces the …

With the rise of freely available image generators, AI-generated art has become the centre of
a series of heated debates, one of which concerns the concept of human creativity. Can an …

Recent advances in Natural Language Processing (NLP) are built on a range of large-scale
pretrained language models (PLMs), which are based on deep transformer neural networks …