Verbal Irony: Theories and Automatic Detection

Front Cover
GRIN Verlag, 2012 - 68 pages
0 Reviews
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.

What people are saying - Write a review

We haven't found any reviews in the usual places.


Automatic detection of irony
Future Work

Other editions - View all

Common terms and phrases

About the author (2012)

Michael Fell received his Ph.D. in mathematics in 1951 from the University of California, Berkeley. He was Professor of Mathematics at the University of Pennsylvana from 1965 to 1991, when he retired. Under the name J.M.G. Fell, he published numerous articles on mathematical research and (in 1988, in collaboration with Professor Robert Doran) a two-volume monograph on his special field. On retiring in 1991, he turned his attention to Icelandic studies. He has now authored three other books in the general field of Icelandic Christianity (published by Peter Lang in 1998, 1999, and 2002). In 2000, he was awarded an honorary Doctorate in Theology by the University of Iceland.

Bibliographic information