Emotional information is conveyed through verbal and nonverbal signals, with nonverbal cues often being considered the decisive factor in the judgment of others' emotional states. The aim of the present study was to examine how verbal and nonverbal cues are integrated by perceivers. More specifically, we tested whether the mismatch between verbal and nonverbal information was perceived as an ex...

Irony is a pervasive aspect of many online texts, one made all the more difficult by the absence of face-to-face contact and vocal intonation. As our media increasingly become more social, the problem of irony detection will become even more pressing. We describe here a set of textual features for recognizing irony at a linguistic level, especially in short texts created via social media such a...

This paper proposes the implicit display theory of verbal irony that overcomes several difficulties of previous irony theories, and then describes a computational model of irony interpretation and generation based on the theory. The theory claims that irony implicitly communicates the fact that its utterance situation is surrounded by ironic environment which has three properties, but hearers c...

We propose a pretense theory of irony based on suggestions by Grice and Fowler. In being ironic, the theory goes, a speaker is pretending to be an injudicious person speaking to an uninitiated audience; the speaker intends the addresses of the irony to discover the pretense and thereby see his or her attitude toward the speaker, the audience, and the utterance. The pretense theory, we argue, is...

This workshop aims to bring together researchers in cognitive science and computer science with a shared interest in irony. Irony detection is an especially difficult problem for natural language processing. Unlike other types of classification tasks, the difficulty of identifying irony is not alleviated by ‘throwing more data’ at the problem. Rather, it seems a different kind of data is needed...