Annotating Uncertainty in Hungarian Webtext
Veronika Vincze, Katalin Ilona Simkó, Viktor Varga · 2014
Uncertainty detection has been a popular topic in natural language processing, which manifested in the creation of several corpora for English.Here we show how the annotation guidelines originally developed for English standard texts can be adapted to Hungarian webtext.We annotated a small corpus of Facebook posts for uncertainty phenomena and we illustrate the main characteristics of such texts, with special regard to uncertainty annotation.Our results may be exploited in adapting the guidelines to other languages or domains and later on, in the construction of automatic uncertainty detectors.