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Issue DateTitleInvolved Person(s)
2017Fully convolutional neural networks for newspaper article segmentationMeier, Benjamin; Stadelmann, Thilo; Stampfli, Jan; Arnold, Marek; Cieliebak, Mark
2017Swiss chocolate at CAp 2017 NER challenge : partially annotated data and transfer learningFalkner, Nicole; Dolce, Stefano; von Däniken, Pius; Cieliebak, Mark
2017TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervisionMüller, Simon; Huonder, Tobias; Deriu, Jan Milan; Cieliebak, Mark
2017A Twitter corpus and benchmark resources for german sentiment analysisCieliebak, Mark; Deriu, Jan Milan; Egger, Dominic; Uzdilli, Fatih
2017Leveraging large amounts of weakly supervised data for multi-language sentiment classificationDeriu, Jan Milan; Lucchi, Aurelien; De Luca, Valeria; Severyn, Aliaksei; Müller, Simone; Cieliebak, Mark; Hofmann, Thomas; Jaggi, Martin
2017Potential and limitations of cross-domain sentiment classificationvon Grünigen, Dirk; Weilenmann, Martin; Deriu, Jan Milan; Cieliebak, Mark
2017Author profiling with bidirectional RNNs using attention with GRUs : notebook for PAN at CLEF 2017Kodiyan, Don; Hardegger, Florin; Neuhaus, Stephan; Cieliebak, Mark
2017Transfer learning and sentence level features for named entity recognition on tweetsvon Däniken, Pius; Cieliebak, Mark
2016Sentiment analysis using convolutional neural networks with multi-task training and distant supervision on italian tweetsDeriu, Jan Milan; Cieliebak, Mark
2015Swiss-Chocolate : combining flipout regularization and random forests with artificially built subsystems to boost text-classification for sentimentUzdilli, Fatih; Jaggi, Martin; Egger, Dominic; Julmy, Pascal; Derczynski, Leon; Cieliebak, Mark