Sarcasm is often expressed through several verbal and non-verbal cues, eg, a change of
tone, overemphasis in a word, a drawn-out syllable, or a straight looking face. Most of the …

Sentiment classification and sarcasm detection are both important natural language
processing tasks. Sentiment is always coupled with sarcasm where intensive emotion is …

The increased use of social media among digitally anonymous users, sharing their thoughts
and opinions, can facilitate participation and collaboration. However, this anonymity feature …

Sarcasm detection plays an important role in natural language processing as it can impact
the performance of many applications, including sentiment analysis, opinion mining, and …

Les modèles théoriques de compréhension de l'ironie posent différentes hypothèses sur le
temps nécessaire à la résolution de l'interprétation ironique d'un énoncé, et ils proposent …

An interesting method of evaluating word representations is by how much they reflect the
semantic representations in the human brain. However, most, if not all, previous works only …

Abstract Information on social media is multi-modal, most of which contains the meaning of
sarcasm. In recent years, many people have studied the problem of sarcasm detection …

Sarcasm detection has been a well-studied problem for the computational linguistic
researchers. However, research related to different categories of sarcasm has still not …

Cognitive NLP systems-ie, NLP systems that make use of behavioral data-augment
traditional text-based features with cognitive features extracted from eye-movement patterns …

We recorded and preprocessed ZuCo 2.0, a new dataset of simultaneous eye-tracking and
electroencephalography during natural reading and during annotation. This corpus contains …