Ji-Ung Lee
Ji-Ung Lee
Doctoral Researcher, UKP Lab, Technische Universität Darmstadt
Verifisert e-postadresse på ukp.informatik.tu-darmstadt.de - Startside
Sitert av
Sitert av
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*, JU Lee*, T Ji*, B van Aken, Q Cao, MR Ciosici, M Hassid, ...
Transactions of the Association for Computational Linguistics (TACL) 11, 826–860, 2023
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
Annotation Curricula to Implicitly Train Non-Expert Annotators
JU Lee, JC Klie, I Gurevych
Computational Linguistics 48 (2), 343-373, 2022
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
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
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
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
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
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
Constrained C-Test Generation via Mixed-Integer Programming
JU Lee, ME Pfetsch, I Gurevych
arXiv preprint arXiv:2404.08821, 2024
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
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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