2022

Lee, Ji-Ung ; Klie, Jan-Christoph ; Gurevych, Iryna (2022):
Annotation Curricula to Implicitly Train Non-Expert Annotators.
In: Computational Linguistics, 48 (2), S. 343-373. MIT Press, ISSN 0891-2017,
DOI: 10.1162/coli_a_00436,
[Artikel]

2021

Müller, Marvin ; Lee, Ji-Ung ; Frick, Nicholas ; Stangier, Lorenz ; Gurevych, Iryna ; Metternich, Joachim (2021):
Extracting problem related entities from production chats to enhance the data base for assistance functions on the shop floor.
In: Procedia CIRP, 103, S. 231-236. Elsevier B.V., ISSN 2212-8271,
DOI: 10.1016/j.procir.2021.10.037,
[Artikel]

Beck, Tilman ; Lee, Ji-Ung ; Viehmann, Christina ; Maurer, Marcus ; Quiring, Oliver ; Gurevych, Iryna (2021):
Investigating Label Suggestions for Opinion Mining in German Covid-19 Social Media.
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), S. 1-13,
Association for Computational Linguistics, 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), virtual Conference, 01.-06.08.2021, [Konferenzveröffentlichung]

2020

Araneta, Marianne Grace ; Eryigit, Gülsen ; König, Alexander ; Lee, Ji-Ung ; Luis, Ana ; Lyding, Verena ; Nicolas, Lionel ; Rodosthenous, Christos ; Sangati, Federico (2020):
Substituto - A Synchronous Educational Language Game for Simultaneous Teaching and Crowdsourcing.
In: Linköping Electronic Conference Proceedings, 175, In: Proceedings of the 9th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2020), S. 9,
virtual Conference, LiU E-Press, 25.11.2020, DOI: 10.3384/ecp201759,
[Konferenzveröffentlichung]

Müller, Marvin ; Frick, Nicholas ; Lee, Ji-Ung ; Metternich, Joachim ; Gurevych, Iryna (2020):
Chats als Datengrundlage für KI-Anwendungen in der Produktion.
In: Zeitschrift für Wirtschaftlichen Fabrikbetrieb : ZWF, 115 (7-8), S. 520-523. Carl Hanser Verlag, ISSN 0947-0085,
DOI: 10.3139/104.112360,
[Artikel]

Lee, Ji-Ung ; Meyer, Christian M. ; Gurevych, Iryna (2020):
Empowering Active Learning to Jointly Optimize System and User Demands.
S. 4233-4247, The 58th annual meeting of the Association for Computational Linguistics (ACL 2020), virtual Conference, 05.-10.07.2020, [Konferenzveröffentlichung]

Lee, Ji-Ung ; Gurevych, Iryna (2020):
Forschungsdatenmanagement am Ubiquitous Knowledge Processing Lab (UKP).
HeFDI Plenary 2020, virtual conference, 17.12.2020, DOI: 10.5281/zenodo.4772680,
[Konferenzveröffentlichung]

2019

Lee, Ji-Ung ; Schwan, Erik ; Meyer, Christian M. (2019):
Manipulating the Difficulty of C-Tests.
S. 360-370, The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, 28.07.2019-02.08.2019, [Konferenzveröffentlichung]

Eger, Steffen ; Şahin, Gözde Gül ; Rücklé, Andreas ; Lee, Ji-Ung ; Schulz, Claudia ; Mesgar, Mohsen ; Swarnkar, Krishnkant ; Simpson, Edwin ; Gurevych, Iryna (2019):
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems.
In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, S. 1634-1647,
Minneapolis, USA, The 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, 02.06.2019--07.10.2019, [Konferenzveröffentlichung]

2018

Lee, Ji-Ung ; Meyer, Christian M. ; Gurevych, Iryna (2018):
Avoid playing learner and system off against each other.
In: Abstracts of the Joint Meeting of WG3 & WG5 "Motivational, ethical and legal issues in crowdsourcing" of the European Network for Combining Language Learning with Crowdsourcing Techniques,
enetCollect - Joint WG3 & WG5 Meeting, Leiden, Netherlands, 24-25 October 2018, [Konferenzveröffentlichung]

2017

Lee, Ji-Ung ; Eger, Steffen ; Daxenberger, Johannes ; Gurevych, Iryna (2017):
UKP TU-DA at GermEval 2017: Deep Learning for Aspect Based Sentiment Detection.
In: Proceedings of the GermEval 2017 – Shared Task on Aspect-based Sentiment in Social Media Customer Feedback, S. 22-29,
Berlin, Germany, [Konferenzveröffentlichung]