1 citations · 2 across the 5 of their papers we have counts for
8 papers
Constrained C-Test Generation via Mixed-Integer Programming
Ji-Ung Lee, Marc E. Pfetsch, Iryna Gurevych
This work proposes a novel method to generate C-Tests; a deviated form of cloze tests (a gap filling exercise) where only the last part of a word is turned into a gap. In contrast…
Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings
Ulf A. Hamster, Ji-Ung Lee, Alexander Geyken +1
Training and inference on edge devices often requires an efficient setup due to computational limitations. While pre-computing data representations and caching them on a server can…
Lessons Learned from a Citizen Science Project for Natural Language Processing
Jan-Christoph Klie, Ji-Ung Lee, Kevin Stowe +6
Many Natural Language Processing (NLP) systems use annotated corpora for training and evaluation. However, labeled data is often costly to obtain and scaling annotation projects is…
TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotation
Lorenz Stangier, Ji-Ung Lee, Yuxi Wang +4
Collecting and annotating task-oriented dialog data is difficult, especially for highly specific domains that require expert knowledge. At the same time, informal communication cha…
Investigating label suggestions for opinion mining in German Covid-19 social media
Tilman Beck, Ji-Ung Lee, Christina Viehmann +3
This work investigates the use of interactively updated label suggestions to improve upon the efficiency of gathering annotations on the task of opinion mining in German Covid-19 s…
Empowering Active Learning to Jointly Optimize System and User Demands
Ji-Ung Lee, Christian M. Meyer, Iryna Gurevych
Existing approaches to active learning maximize the system performance by sampling unlabeled instances for annotation that yield the most efficient training. However, when active l…