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Issue DateTitleInvolved Person(s)
29-Sep-2019Proceedings of the 4th edition of the Swiss Text Analytics ConferenceCieliebak, Mark; Tuggener, Don; Benites, Fernando
Jun-2019TwistBytes - identification of Cuneiform languages and German dialects at VarDial 2019Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Cieliebak, Mark
2019Towards understanding lifelong learning for dialogue systemsCieliebak, Mark; Galibert, Olivier; Deriu, Jan Milan
2019Towards a metric for automated conversational dialogue system evaluation and improvementDeriu, Jan Milan; Cieliebak, Mark
2019Towards integration of statistical hypothesis tests into deep neural networksAghaebrahimian, Ahmad; Cieliebak, Mark
2018Syntactic manipulation for generating more diverse and interesting textsDeriu, Jan Milan; Cieliebak, Mark
2018Word unigram weighing for author profiling at PAN 2018 : notebook for PAN at CLEF 2018von Däniken, Pius; Grubenmann, Ralf; Cieliebak, Mark
2018Twist Bytes : German dialect identification with data mining optimizationBenites de Azevedo e Souza, Fernando; Grubenmann, Ralf; von Däniken, Pius; von Grünigen, Dirk; Deriu, Jan Milan, et al
2017A Twitter corpus and benchmark resources for german sentiment analysisCieliebak, Mark; Deriu, Jan Milan; Egger, Dominic; Uzdilli, Fatih
2017TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervisionMüller, Simon; Huonder, Tobias; Deriu, Jan Milan; Cieliebak, Mark
2017SwissAlps at SemEval-2017 Task 3 : attention-based convolutional neural network for community question answeringDeriu, Jan Milan; Cieliebak, Mark
2016Sentiment analysis using convolutional neural networks with multi-task training and distant supervision on italian tweetsDeriu, Jan Milan; Cieliebak, Mark
2014Swiss-chocolate : sentiment detection using sparse SVMs and part-of-speech n-gramsJaggi, Martin; Uzdilli, Fatih; Cieliebak, Mark
2014JOINT_FORCES : unite competing sentiment classifiers with random forestDürr, Oliver; Uzdilli, Fatih; Cieliebak, Mark
2014Meta-classifiers easily improve commercial sentiment detection toolsCieliebak, Mark; Dürr, Oliver; Uzdilli, Fatih
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