|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||Michael Bugert, Yevgeniy Puzikov, Andreas Rücklé, Judith Eckle-Kohler, Teresa Martin, Eugenio Martínez Cámara, Daniil Sorokin, Maxime Peyrard, Iryna Gurevych|
|Publisher||Association for Computational Linguistics|
|Book title||Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics (LSDSem, held in conjunction with EACL2017)|
|Research Areas||UKP_p_DIP, UKP_p_QAEduInf, AIPHES, UKP_reviewed, Ubiquitous Knowledge Processing, UKP_a_DLinNLP, UKP_a_LSRA|
|Abstract||The Story Cloze test is a recent effort in providing a common test scenario for text understanding systems. As part of the LSDSem 2017 shared task, we present a system based on a deep learning architecture combined with a rich set of manually-crafted linguistic features. The system outperforms all known baselines for the task, suggesting that the chosen approach is promising. We additionally present two methods for generating further training data based on stories from the ROCStories corpus. Our system and generated data are publicly available on GitHub.|