| Issue Date | Title | Involved Person(s) |
| 10-May-2019 | Survey on evaluation methods for dialogue | Deriu, Jan Milan; Rodrigo, Alvaro; Otegi, Arantxa; Guillermo, Echegoyen; Rosset, Sophie, et al |
| 2019 | Fact-aware abstractive text summarization using a pointer-generator network | Venzin, Valentin; Deriu, Jan Milan; Didier, Orel; Cieliebak, Mark |
| 2018 | Syntactic manipulation for generating more diverse and interesting texts | Deriu, Jan Milan; Cieliebak, Mark |
| 2018 | Twist Bytes : German dialect identification with data mining optimization | Benites de Azevedo e Souza, Fernando; Grubenmann, Ralf; von Däniken, Pius; von Grünigen, Dirk; Deriu, Jan Milan, et al |
| 2017 | Potential and limitations of cross-domain sentiment classification | von Grünigen, Dirk; Weilenmann, Martin; Deriu, Jan Milan; Cieliebak, Mark |
| 2017 | SwissAlps at SemEval-2017 Task 3 : attention-based convolutional neural network for community question answering | Deriu, Jan Milan; Cieliebak, Mark |
| 2017 | Leveraging large amounts of weakly supervised data for multi-language sentiment classification | Deriu, Jan Milan; Lucchi, Aurelien; De Luca, Valeria; Severyn, Aliaksei; Müller, Simone, et al |
| 2017 | End-to-end trainable system for enhancing diversity in natural language generation | Deriu, Jan Milan; Cieliebak, Mark |
| 2017 | TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervision | Müller, Simon; Huonder, Tobias; Deriu, Jan Milan; Cieliebak, Mark |
| 2017 | A Twitter corpus and benchmark resources for german sentiment analysis | Cieliebak, Mark; Deriu, Jan Milan; Egger, Dominic; Uzdilli, Fatih |
| 2016 | Sentiment analysis using convolutional neural networks with multi-task training and distant supervision on italian tweets | Deriu, Jan Milan; Cieliebak, Mark |
