|Iryna Gurevych, Full Professor, Dr.|
Director, Ubiquitous Knowledge Processing (UKP) Lab
Associated with the Leibniz-Institute for Educational Research (DIPF), Frankfurt am Main
|Prof. Dr. Iryna Gurevych|
|+49 (6151) 16 - 25290|
|+49 (6151) 16 - 25295|
|S2|02 B 110|
TU Darmstadt - FB 20
Strong background in lexical-semantics, resources and algorithms, and innovative applications of language processing to social sciences and humanities, including online publishing and educational research. Iryna Gurevych is Founder and Principal Investigator in:
AIPHES: the DFG-funded Research Training Group “Adaptive Information Preparation from Heterogeneous Sources”, Spokesperson
KDSL: the Graduate School “Knowledge Discovery in Scientific Literature”, Director
CEDIFOR: the BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences, Co-Director
Detailed information about Iryna’s activities can be found through the respective links in the frame to the left of this text.
If you are a young researcher or a student in computer science or Natural Language Processing committed to cutting-edge research and team spirit, consider joining UKP.
Co-Chair, 3rd Workshop on Argument Mining at ACL 2016 in Berlin; co-manager of the workshop's Special Track on Debating Technologies and co-chair of the workshop's Unshared Task on Argument Mining
Co-Chair, "NLP Approaches to Computational Argumentation" tutorial at ACL 2016 in Berlin
Co-Chair, "Argument Mining" course at SSA'16 in Potsdam
Co-Chair, Dagstuhl Seminar “Debating Systems”, Dagstuhl, Germany
2015 - 2016
Scientific Advisory Board Member of EACL.
Fellow at the "Forum für interdisziplinäre Forschung" (Engl.: Board for Interdisciplinary Research) of the Technische Universität Darmstadt.
Member and Chair (since 08.2012) of the Scientific Advisory Board (wissenschaftlicher Beirat) of the German Society for Computational Linguistics and Language Technology (Gesellschaft für Sprachtechnologie & Computerlinguistik, GSCL)
Founder and Chair of the Jury for the GSCL doctoral thesis award in memory of Wolfgang Hoeppner
|Author||Silvana Hartmann, Éva Mújdricza-Maydt, Ilia Kuznetsov, Iryna Gurevych, Anette Frank|
|Book title||Proceedings of the 11th Linguistics Annotation Workshop (LAW XI) at EACL 2017|
|Note||This is a pre-print. A link to the full published version will be made once the conference proceedings are available.|
|Research Areas||Ubiquitous Knowledge Processing, UKP_reviewed, AIPHES, Natural Language Processing, UKP_p_QAEduInf, UKP_p_CLARIND|
|Abstract||We present the first experiment-based study that explicitly contrasts the three major semantic role labeling frameworks. As a prerequisite, we create a dataset labeled with parallel FrameNet-, PropBank-, and VerbNet-style labels for German. We train a state-of-the-art SRL tool for German for the different annotation styles and provide a comparative analysis across frameworks. We further explore the behavior of the frameworks with automatic training data generation. VerbNet provides larger semantic expressivity than PropBank, and we find that its generalization capacity approaches PropBank in SRL training, but it benefits less from training data expansion than the sparse-data affected FrameNet.|