Automatic elicitation of semantic information from natural language texts is an important
research problem with many practical application areas. Especially after the recent …

Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many
business and research domains. Machine learning, deep learning, and natural language …

Language models demonstrate both quantitative improvement and new qualitative
capabilities with increasing scale. Despite their potentially transformative impact, these new …

Large language models (LLMs) are capable of successfully performing many language
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …

Sentiment analysis as a field has come a long way since it was first introduced as a task
nearly 20 years ago. It has widespread commercial applications in various domains like …

This paper presents the first shared task on irony detection: given a tweet, automatic natural
language processing systems should determine whether the tweet is ironic (Task A) and …

The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …

Sentiment analysis is one of the prominent fields of data mining that deals with the
identification and analysis of sentimental contents generally available at social media …

Sarcasm detection is a key task for many natural language processing tasks. In sentiment
analysis, for example, sarcasm can flip the polarity of an" apparently positive" sentence and …

Sarcasm is a sophisticated form of irony widely used in social networks and microblogging
websites. It is usually used to convey implicit information within the message a person …