Ji-Ung Lee

Ji-Ung Lee, M.Sc.

Doctoral researcher

+49 6151 16-25293
+49 6151 16-25295

Hochschulstraße 10
64289 Darmstadt

Office: S2|02 B113

Research interests

  • Deep Learning
  • Active Learning
  • Language and Domain Adaptation
  • Computer-assisted Language Learning
  • Argumentation Mining

Biographical information

Education

  • 10/2013-04/2017: M.Sc. in Computer Science at Technische Universität Darmstadt
    • Thesis: “Automated Annotation of Argumentation Components for eCommerce”
  • 10/2010-09/2013: B.Sc. in Computer Science at Technische Universität Darmstadt
    • Thesis: “Transductive Pairwise Classification”

Publications

Exportieren als [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2019 | 2018 | 2017
Anzahl der Einträge: 4.

2019

Lee, Ji-Ung ; Schwan, Erik ; Meyer, Christian M. (2019):
Manipulating the Difficulty of C-Tests.
In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), In: 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, In: 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, In: enetCollect - Joint WG3 & WG5 Meeting, Leiden, Netherlands, 24-25 October 2018, [Online-Edition: https://fileserver.ukp.informatik.tu-darmstadt.de/UKP_Webpag...],
[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, Berlin, Germany, [Online-Edition: https://download.hrz.tu-darmstadt.de/media/FB20/Dekanat/Publ...],
[Konferenzveröffentlichung]

Diese Liste wurde am Wed Aug 21 06:20:56 2019 CEST generiert.

go to list