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Books and Theses
- 2018
[b1]Stefan Räbiger:
Analyzing crowd workers learning behavior to obtain more reliable labels (Kitle çalışanlarının öğrenme tutumlarının daha güvenilir etiketler elde etmek içinanaliz edilmesi). Sabancı University, Turkey, 2018
Journal Articles
- 2022
- [j3]Saima Gul, Stefan Räbiger, Yücel Saygin:
Context-based extraction of concepts from unstructured textual documents. Inf. Sci. 588: 248-264 (2022) - 2018
- [j2]Stefan Räbiger
, Myra Spiliopoulou, Yücel Saygin:
How do annotators label short texts? Toward understanding the temporal dynamics of tweet labeling. Inf. Sci. 457-458: 29-47 (2018) - 2015
- [j1]Stefan Räbiger, Myra Spiliopoulou:
A framework for validating the merit of properties that predict the influence of a twitter user. Expert Syst. Appl. 42(5): 2824-2834 (2015)
Conference and Workshop Papers
- 2020
- [c4]Mehmet Cem Aytekin, Stefan Räbiger, Yücel Saygin:
Discovering the Prerequisite Relationships Among Instructional Videos From Subtitles. EDM 2020 - 2018
- [c3]Stefan Räbiger, Gizem Gezici, Yücel Saygin, Myra Spiliopoulou:
Predicting Worker Disagreement for More Effective Crowd Labeling. DSAA 2018: 179-188 - 2016
- [c2]Stefan Räbiger, Mishal Kazmi, Yücel Saygin, Peter Schüller, Myra Spiliopoulou:
SteM at SemEval-2016 Task 4: Applying Active Learning to Improve Sentiment Classification. SemEval@NAACL-HLT 2016: 64-70 - [c1]Stefan Räbiger, Ataman Girisken, Cemal Yilmaz:
How to Provide Developers Only with Relevant Information? IWESEP@SANER 2016: 12-17
Informal and Other Publications
- 2018
- [i1]Stefan Räbiger, Yücel Saygin, Myra Spiliopoulou:
How Does Tweet Difficulty Affect Labeling Performance of Annotators? CoRR abs/1808.00388 (2018)
Coauthor Index
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