Humans are increasingly integrated with devices that enable the collection of vast
unstructured opinionated data. Accurately analysing subjective information from this data is …

We present BERTweet, the first public large-scale pre-trained language model for English
Tweets. Our BERTweet, having the same architecture as BERT-base (Devlin et al., 2019), is …

Figurative language generation (FLG) is the task of reformulating a given text to include a
desired figure of speech, such as a hyperbole, a simile, and several others, while still being …

Sarcasm is a subtle form of language in which people express the opposite of what is
implied. Previous works of sarcasm detection focused on texts. However, more and more …

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 …

Figurative language (FL) seems ubiquitous in all social media discussion forums and chats,
posing extra challenges to sentiment analysis endeavors. Identification of FL schemas in …

Irony and sarcasm detection is considered a complex task in Natural Language Processing.
This paper set out to explore the sarcasm and irony on Twitter, using Machine Learning and …

Automatic sarcasm detection from text is an important classification task that can help
identify the actual sentiment in user-generated data, such as reviews or tweets. Despite its …

We consider the distinction between intended and perceived sarcasm in the context of
textual sarcasm detection. The former occurs when an utterance is sarcastic from the …

Human communication using natural language, specially in social media, is influenced by
the use of figurative language like irony. Recently, several workshops are intended to …