Verbal Irony


Book Description

Seminar paper from the year 2010 in the subject Speech Science / Linguistics, grade: 1,0, Saarland University (Computerlinguistik), course: Computational Approaches to Creative Language, language: English, abstract: Human communication often involves the use of irony. In many cases, it is far from obvious if an utterance is meant ironical or not. Context and world knowledge are needed to discriminate literal from ironic intent. Linguists have worked on describing the nature of irony and come up with ideas which reflect the intuitive understanding of irony. Parallely, computational linguists are confronted with the challenge of automatically detecting irony. When an utterance contains irony, the only chance of getting the intent, is understanding and interpreting the irony in it. I review different theories of irony in chapter 2. Chapter 3 describes the state-of-the-art of automatic irony detection, covers the importance of corpus study for future research and proposes a fusion between theory, corpus study and automatic detection.




Verbal Irony: Theories and Automatic Detection


Book Description

Seminar paper from the year 2010 in the subject Speech Science / Linguistics, grade: 1,0, Saarland University (Computerlinguistik), course: Computational Approaches to Creative Language, language: English, abstract: Human communication often involves the use of irony. In many cases, it is far from obvious if an utterance is meant ironical or not. Context and world knowledge are needed to discriminate literal from ironic intent. Linguists have worked on describing the nature of irony and come up with ideas which reflect the intuitive understanding of irony. Parallely, computational linguists are confronted with the challenge of automatically detecting irony. When an utterance contains irony, the only chance of getting the intent, is understanding and interpreting the irony in it. I review different theories of irony in chapter 2. Chapter 3 describes the state-of-the-art of automatic irony detection, covers the importance of corpus study for future research and proposes a fusion between theory, corpus study and automatic detection.




Automatic Detection of Irony


Book Description

In recent years, there has been a proliferation of opinion-heavy texts on the Web: opinions of Internet users, comments on social networks, etc. Automating the synthesis of opinions has become crucial to gaining an overview on a given topic. Current automatic systems perform well on classifying the subjective or objective character of a document. However, classifications obtained from polarity analysis remain inconclusive, due to the algorithms' inability to understand the subtleties of human language. Automatic Detection of Irony presents, in three stages, a supervised learning approach to predicting whether a tweet is ironic or not. The book begins by analyzing some everyday examples of irony and presenting a reference corpus. It then develops an automatic irony detection model for French tweets that exploits semantic traits and extralinguistic context. Finally, it presents a study of portability in a multilingual framework (Italian, English, Arabic).




Verbal Irony Processing


Book Description

Ironic language is a salient reminder that speakers of all languages do not always mean what they say. While ironic language has captured the attention of theorists and scholars for centuries, it is only since the 1980s that psycholinguistic methods have been employed to investigate how readers and hearers detect, process, and comprehend ironic language. This Element reviews the foundational definitions, theories, and psycholinguistic models of ironic language, covering key questions such as the distinction between literal and ironic meaning, the role of contextual information during irony processing, and the cognitive mechanisms involved. These key questions continue to motivate new studies and methodological innovations, providing ample opportunity for future researchers who wish to continue exploring how ironic language is processed and understood.




Automatic Detection of Irony


Book Description

In recent years, there has been a proliferation of opinion-heavy texts on the Web: opinions of Internet users, comments on social networks, etc. Automating the synthesis of opinions has become crucial to gaining an overview on a given topic. Current automatic systems perform well on classifying the subjective or objective character of a document. However, classifications obtained from polarity analysis remain inconclusive, due to the algorithms' inability to understand the subtleties of human language. Automatic Detection of Irony presents, in three stages, a supervised learning approach to predicting whether a tweet is ironic or not. The book begins by analyzing some everyday examples of irony and presenting a reference corpus. It then develops an automatic irony detection model for French tweets that exploits semantic traits and extralinguistic context. Finally, it presents a study of portability in a multilingual framework (Italian, English, Arabic).




Irony in Language and Thought


Book Description

Irony in Language and Thought assembles an interdisciplinary collection of seminal empirical and theoretical papers on irony in language and thought into one comprehensive book. A much-needed resource in the area of figurative language, this volume centers on a theme from cognitive science - that irony is a fundamental way of thinking about the human experience. The editors lend perspective in the form of opening and closing chapters, which enable readers to see how such works have furthered the field, as well as to inspire present and future scholars. Featured articles focus on the following topics: theories of irony, addressing primarily comprehension of its verbal form context in irony comprehension social functions of irony the development of irony understanding situational irony. Scholars and students in psychology, linguistics, philosophy, literature, anthropology, artificial intelligence, art, and communications will consider this book an excellent resource. It serves as an ideal supplement in courses that present major ideas in language and thought.




Irony in Context


Book Description

In her book, Barbe discusses verbal irony as an interpretative notion. Verbal irony is described in its various realizations and thus placed within linguistics and pragmatics. From the point of view of an analyzing observer, Barbe provides an eclectic approach to irony in context, a study of how conversational irony works, and how it compares with other concepts in which it plays a role. In addition, by means of the analysis of irony as an integrated pervasive feature of language, Barbe questions some basic unstated, literacy and culture-dependent assumptions about language. Her study of irony complements contemporary research in the area of conversational analysis.




Irony in Language Use and Communication


Book Description

The volume provides original research and analyses of the multi-faceted conceptual and verbal process(es) of irony. Key topics explored include interdisciplinary perspectives and approaches to the study of irony. Collectively, the papers examine irony from psychology, embodiment studies, philosophy, cognitive linguistics, the connection and impact of irony on culture and (media) communication, different approaches to verbal irony and others—ultimately attempting to model the mechanisms underlying ironic forms and the psycholinguistic motivations for their investigation. The comprehensive treatment of these issues is fundamental for future research on irony and related phenomena, particularly on questions of its usage, the diversity and/or unity of irony and ultimately the interrelationships between figurative thought and language.







Language Technologies for the Challenges of the Digital Age


Book Description

This open access volume constitutes the refereed proceedings of the 27th biennial conference of the German Society for Computational Linguistics and Language Technology, GSCL 2017, held in Berlin, Germany, in September 2017, which focused on language technologies for the digital age. The 16 full papers and 10 short papers included in the proceedings were carefully selected from 36 submissions. Topics covered include text processing of the German language, online media and online content, semantics and reasoning, sentiment analysis, and semantic web description languages.