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 |
Jun-2019 | TwistBytes - identification of Cuneiform languages and German dialects at VarDial 2019 | Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Cieliebak, Mark |
2019 | Towards integration of statistical hypothesis tests into deep neural networks | Aghaebrahimian, Ahmad; Cieliebak, Mark |
2019 | Towards a metric for automated conversational dialogue system evaluation and improvement | Deriu, Jan Milan; Cieliebak, Mark |
2019 | Towards understanding lifelong learning for dialogue systems | Cieliebak, Mark; Galibert, Olivier; Deriu, Jan Milan |
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 |
2018 | Word unigram weighing for author profiling at PAN 2018 : notebook for PAN at CLEF 2018 | von Däniken, Pius; Grubenmann, Ralf; Cieliebak, Mark |
2017 | SwissAlps at SemEval-2017 Task 3 : attention-based convolutional neural network for community question answering | 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 |
2014 | Swiss-chocolate : sentiment detection using sparse SVMs and part-of-speech n-grams | Jaggi, Martin; Uzdilli, Fatih; Cieliebak, Mark |
2014 | Meta-classifiers easily improve commercial sentiment detection tools | Cieliebak, Mark; Dürr, Oliver; Uzdilli, Fatih |
2014 | JOINT_FORCES : unite competing sentiment classifiers with random forest | Dürr, Oliver; Uzdilli, Fatih; Cieliebak, Mark |