| Issue Date | Title | Involved Person(s) |
| 2017 | Transfer learning and sentence level features for named entity recognition on tweets | von Däniken, Pius; Cieliebak, Mark |
| 2017 | Swiss chocolate at CAp 2017 NER challenge : partially annotated data and transfer learning | Falkner, Nicole; Dolce, Stefano; von Däniken, Pius; Cieliebak, Mark |
| 2017 | Potential and limitations of cross-domain sentiment classification | von Grünigen, Dirk; Weilenmann, Martin; Deriu, Jan Milan; Cieliebak, Mark |
| 2017 | Four different ways to build a chatbot about movies | Graf, Hans Daniel; Koc, Yusuf; Panighetti, Sandro; Togni, Matteo; von Grünigen, Dirk, et al |
| 2017 | Author profiling with bidirectional RNNs using attention with GRUs : notebook for PAN at CLEF 2017 | Kodiyan, Don; Hardegger, Florin; Neuhaus, Stephan; Cieliebak, Mark |
| 2017 | Hierarchical classificaion for news articles | Benites de Azevedo e Souza, Fernando; Cieliebak, Mark |
| 2016 | Sentiment analysis using convolutional neural networks with multi-task training and distant supervision on italian tweets | Deriu, Jan Milan; Cieliebak, Mark |
| 2016 | Adverse drug reaction detection using an adapted sentiment classifier | Uzdilli, Fatih; Cieliebak, Mark; Egger, Dominic |
| 2016 | Deep learning for infinite applications in text analytics | Cieliebak, Mark |
| 2016 | Optimising Deep Learning for Infinite Applications in Text Analytics | Cieliebak, Mark |
| 2015 | PANOPTES : automated article segmentation of newspaper pages for "Real Time Print Media Monitoring“ | Arnold, Marek; Cieliebak, Mark; Stadelmann, Thilo; Stampfli, Jan; Uzdilli, Fatih |
| 2013 | Potential and limitations of commercial sentiment detection tools | Cieliebak, Mark; Dürr, Oliver; Uzdilli, Fatih |
