Detecting Ironic Patterns in Multi-level Annotated German Web Comments


B. Trevisan, M. Neunerdt, T. Hemig, E. Jakobs, R. Mathar,


        Ironic speech act detection is indispensable for automatic opinion mining. This paper presents a pattern-based approach for the detection of ironic speech acts in German Web comments. The approach is based on a multilevel annotation model. Based on a gold standard corpus with labeled ironic sentences, multilevel patterns are determined according to statistical and linguistic analysis. The extracted patterns serve to detect ironic speech acts in a Web comment test corpus. Automatic detection andinter-annotator results achieved by human annotators show that the detection of ironic sentences is a challenging task. However, we show that it is possible to automatically detect ironic sentences with relatively high precision up to 63%.

BibTEX Reference Entry 

	author = {Bianka Trevisan and Melanie Neunerdt and Tim Hemig and Eva-Maria Jakobs and Rudolf Mathar},
	title = "Detecting Ironic Patterns in Multi-level Annotated German Web Comments",
	pages = "34-41",
	booktitle = "12th Conference on Natural Language Processing (KONVENS)",
	address = {Hildesheim, Germany},
	month = Oct,
	year = 2014,
	hsb = hsb999910363747 ,


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