than others. The study looked at comprehension and application of irony compared to subjective affective evaluation of irony reported by Polish-speaking adults and with relation to nonverbal intelligence measured with the Wechsler Adult Intelligence Scale-Revised-Polish versions (WAIS-R(PL), 2004). Fifty-four subjects aged 20-66 years (28 females and 26 males) participated in Study 1 on subject...

Non-literal expression recognition is a challenging task in natural language processing. An ironic expression implies the opposite of the literal meaning, causing problems in opinion mining and sentiment analysis. In this paper, ironic messages are collected from microblogs to form an irony corpus based on the use of emoticons, linguistic forms, and sentiment polarity. Five linguistic patterns ...

In this paper, we empirically investigate whether people understand irony from computers in order to test the recent argument for an egocentric tendency in irony comprehension. In the experiment, participants took a timed math test comprising 10 questions of 3-digit by 2-digit multiplication. After that, they received a feedback comment on their performance (including potentially ironic sentenc...

prehension. The research focuses on the problem of the age at which ironic utterances can first be understood. The link between ironic utterance comprehension and early Theory of Mind (ToM) is examined as well. In order to approach the topic, 46 preschool children were tested with the Irony Comprehension Task (Banasik & Bokus, 2013) and the Reflection on Thinking Test (Białecka-Pikul, 2012) in ...

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 propose two metrics capable of modeling forms of polarity contrast: polarity divergence and polarity dimorphism. To explore their potential usefulness to the detection of verbal irony and sentiment polarity, we performed an exploratory text analysis on a corpus of figurative tweets annotated by sentiment. The results of a text analysis show that, employing two different types ...