no code implementations • LREC 2020 • Piroska Lendvai, S{\'a}ndor Dar{\'a}nyi, Christian Geng, Moniek Kuijpers, Oier Lopez de Lacalle, Jean-Christophe Mensonides, Simone Rebora, Uwe Reichel
To detect how and when readers are experiencing engagement with a literary work, we bring together empirical literary studies and language technology via focusing on the affective state of absorption.
no code implementations • WS 2016 • Piroska Lendvai, Uwe D. Reichel
The utilization of social media material in journalistic workflows is increasing, demanding automated methods for the identification of mis- and disinformation.
no code implementations • WS 2016 • Uwe D. Reichel, Piroska Lendvai
Subsequently, lexical cue proportions, predicted certainty, as well as their time course characteristics are used to compute veracity for each rumor in terms of the identity of the rumor-resolving tweet and its binary resolution value judgment.
no code implementations • LREC 2016 • Piroska Lendvai, Isabelle Augenstein, Kalina Bontcheva, Thierry Declerck
Entailment recognition approaches are useful for application domains such as information extraction, question answering or summarisation, for which evidence from multiple sentences needs to be combined.
no code implementations • LREC 2012 • Thierry Declerck, Karlheinz M{\"o}rth, Piroska Lendvai
We describe the usefulness of Wiktionary, the freely available web-based lexical resource, in providing multilingual extensions to catalogues that serve content-based indexing of folktales and related narratives.