This paper considers how two recent accounts of verbal irony – the pretence account and the echoic account – can explain a range of experimental results on the nature of irony and the differences between irony and metaphor. Of particular interest is the fact that irony comprehension correlates with success in standard second-order falsebelief tasks, and therefore requires a higher order of meta...

he aim of the paper is fourfold: (a) show why humor scholars should study irony, (b) explore the need for considering interindividual differences in healthy adults’ irony performance, (c) stress the necessity for developing tools assessing habitual differences in irony performance, and (d) indicate future directions for joint irony and humor research and outline possible applications. Verbal ir...

Research on verbal irony has found that prosodic features such as pitch range expansion, syllable lengthening, and specific intonational contours are common prosodic resources that languages use to mark irony in speech. Yet little is known about the relative weight of these prosodic features in the detection of irony in languages that use these three prosodic correlates. In this paper we presen...

Recognising and understanding irony is crucial for the improvement natural language processing tasks including sentiment analysis. In this study, we describe the construction of an English Twitter corpus and its annotation for irony based on a newly developed fine-grained annotation scheme. We also explore the feasibility of automatic irony recognition by exploiting a varied set of features inc...

Two perception experiments were conducted in order to study the function and signaling of two postulated subtypes of emphasis for intensity in German. The results of the first, semantic-differential experiment confirm previous findings of acoustic analyses that positive and negative intensification are two distinct subtypes of emphasis for intensity. Moreover, irony occurs when semantically pos...

In this paper we present our approach to automatically identify the subjectivity, polarity and irony of Italian Tweets. Our system which reaches and outperforms the state of the art in Italian is well adapted for different domains since it uses abstract word features instead of bag of words. We also present experiments carried out to study how Italian Sentiment Analysis systems react to domain ...