| Issue Date | Title | Involved Person(s) |
| 29-Sep-2019 | Proceedings of the 4th edition of the Swiss Text Analytics Conference | Cieliebak, Mark; Tuggener, Don; Benites, Fernando |
| 2019 | Matching words and knowledge graph entities with meta-embeddings | Sileo, Damien; Pradel, Camille; Peñas, Anselmo; Echegoyen, Guillermo; Otegi, Arantxa, et al |
| 2018 | spMMMP at GermEval 2018 shared task : classification of offensive content in tweets using convolutional neural networks and gated recurrent units | von Grünigen, Dirk; Grubenmann, Ralf; Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Cieliebak, Mark |
| 2018 | Merging haystacks to find matching needles : a transliteration approach | Benites de Azevedo e Souza, Fernando; Duivesteijn, Gilbert; von Däniken, Pius; Cieliebak, Mark |
| 2018 | A framework for text analytics with visual exploration and machine learning | Siddiqui, Nadina; Metzler, Linus; Tuggener, Don; Cieliebak, Mark |
| 2018 | LIHLITH : improving communication skills of robots through lifelong learning | Agirre, Eneko; Marchand, Sarah; Rosset, Sophie; Peñas, Anselmo; 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 | Hierarchical classificaion for news articles | Benites de Azevedo e Souza, Fernando; 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 |
