Ji-Ung Lee
Ji-Ung Lee
Doctoral Researcher, UKP Lab, Technische Universität Darmstadt
Verified email at - Homepage
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Text processing like humans do: Visually attacking and shielding nlp systems
S Eger, GG Şahin, A Rücklé, JU Lee, C Schulz, M Mesgar, K Swarnkar, ...
Proceedings of the 2019 Conference of the NAACL-HLT, 1634--1647, 2019
Efficient methods for natural language processing: a survey
M Treviso, T Ji, JU Lee, B van Aken, Q Cao, MR Ciosici, M Hassid, ...
Transactions of the Association for Computational Linguistics (TACL) 11, 826–860, 2022
Manipulating the Difficulty of C-Tests
JU Lee, E Schwan, CM Meyer
Proceedings of the 57th Annual Meeting of the ACL, 360--370, 2019
Investigating label suggestions for opinion mining in German Covid-19 social media
T Beck, JU Lee, C Viehmann, M Maurer, O Quiring, I Gurevych
ACL-IJCNLP 2021 1, 1-13, 2021
UKP TU-DA at GermEval 2017: Deep learning for aspect based sentiment detection
JU Lee, S Eger, J Daxenberger, I Gurevych
Proceedings of the GSCL GermEval Shared Task on Aspect-based Sentiment in …, 2017
Annotation Curricula to Implicitly Train Non-Expert Annotators
JU Lee, JC Klie, I Gurevych
Computational Linguistics 48 (2), 343-373, 2021
Substituto–a synchronous educational language game for simultaneous teaching and crowdsourcing
MG Araneta, G Eryiğit, A König, JU Lee, A Luís, V Lyding, L Nicolas, ...
Proceedings of the 9th Workshop on NLP for Computer Assisted Language …, 2020
Empowering Active Learning to Jointly Optimize System and User Demands
JU Lee, CM Meyer, I Gurevych
Proceedings of the 58th Annual Meeting of the ACL, 4233–4247, 2020
Extracting problem related entities from production chats to enhance the data base for assistance functions on the shop floor
M Müller, JU Lee, N Frick, L Stangier, I Gurevych, J Metternich
Procedia CIRP 103, 231-236, 2021
TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotation
L Stangier, JU Lee, Y Wang, M Müller, N Frick, J Metternich, I Gurevych
AACL-IJCNLP: System Demonstrations, 9-16, 2022
Transformers with Learnable Activation Functions
H Fang, JU Lee, NS Moosavi, I Gurevych
Findings of the Association for Computational Linguistics: EACL 2023, 2382–2398, 2023
Surveying (Dis) Parities and Concerns of Compute Hungry NLP Research
JU Lee, H Puerto, B van Aken, Y Arase, JZ Forde, L Derczynski, A Rücklé, ...
arXiv preprint arXiv:2306.16900, 2023
Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings
UA Hamster, JU Lee, A Geyken, I Gurevych
arXiv preprint arXiv:2304.02481, 2023
Lessons Learned from a Citizen Science Project for Natural Language Processing
JC Klie, JU Lee, K Stowe, GG Şahin, NS Moosavi, L Bates, D Petrak, ...
Proceedings of the 17th Conference of the European Chapter of the …, 2023
Proceedings of the First Workshop on Interactive Learning for Natural Language Processing
K Brantley, S Dan, I Gurevych, JU Lee, F Radlinski, H Schütze, E Simpson, ...
Proceedings of the First Workshop on Interactive Learning for Natural …, 2021
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