Personal Information

Name

Iryna Gurevych, Full Professor, Dr.
Position

Director, Ubiquitous Knowledge Processing (UKP) Lab 
Primary Appointments: Dpt. of Computer Science (FB 20), Technische Universität Darmstadt (TUDA);
Secondary Appointment: Inst. of Languages and Literature Studies, Dpt. of Historical and Social Sciences, TUDA
Coordinator: Interdisciplinary Research Priority "Knowledge Discovery in the Web" (WeRC) at TUDA;

Associated with the Leibniz-Institute for Educational Research (DIPF), Frankfurt am Main

EMail 
Prof. Dr. Iryna Gurevych
Phone 
+49 (6151) 16 - 25290
Fax 
+49 (6151) 16 - 25295
Office 
S2|02 B 110 
Address

TU Darmstadt - FB 20 
Hochschulstraße 10 
64289 Darmstadt 
Germany 

 

Research Interests

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

Further Information

  • 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.

Current Activities

2016

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

2015

Co-Chair, Dagstuhl Seminar “Debating Systems”, Dagstuhl, Germany

Co-Chair, GermEval Lexical Substitution Shared Task, GSCL 2015, Duisburg-Essen, Germany

Co-Organizer, 2nd Workshop on Argumentation Mining, NAACL 2015, Denver, Colorado, USA

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.

Since 2012

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)

Since 2013

Founder and Chair of the Jury for the GSCL doctoral thesis award in memory of Wolfgang Hoeppner

Highlighted Past Activities

Language Resources and Evaluation Special Issue on Collaboratively Constructed Language Resources Contributed volume: The People’s Web Meets NLP: Collaboratively Constructed Language Resources Language Processing and Knowledge in the Web: Proceedings of the 25th International Conference of the German Society for Computational Linguistics (GSCL 2013) Linked Lexical Knowledge Bases

Publications

Assessing SRL Frameworks with Automatic Training Data Expansion

Author Silvana Hartmann, Eva Mujdricza-Maydt, Ilia Kuznetsov, Iryna Gurevych, Anette Frank
Date April 2017
Kind Inproceedings
Book titleProceedings of the 11th Linguistics Annotation Workshop (LAW XI) at EACL 2017
Pagesto appear
NoteThis is a pre-print. A link to the full published version will be made once the conference proceedings are available.
LocationValencia, Spain
KeyTUD-CS-2017-0045
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.
Full paper (pdf)
[Export this entry to BibTeX]

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