Issue Date | Title | Involved Person(s) |
2015 | Swiss-Chocolate : combining flipout regularization and random forests with artificially built subsystems to boost text-classification for sentiment | Uzdilli, Fatih; Jaggi, Martin; Egger, Dominic; Julmy, Pascal; Derczynski, Leon; Cieliebak, Mark |
2016 | Sentiment analysis using convolutional neural networks with multi-task training and distant supervision on italian tweets | 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; Cieliebak, Mark; Hofmann, Thomas; Jaggi, Martin |
2011 | Social CRM : vom Hype zum Standard | Cieliebak, Mark |
2014 | Flip your classroom : but be aware! | Cieliebak, Mark |
2013 | Potential and limitations of 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 |
2016 | Adverse drug reaction detection using an adapted sentiment classifier | Uzdilli, Fatih; Cieliebak, Mark; Egger, Dominic |
2017 | How to throw chocolate at students : a survey of extrinsic means for increased audience attention | Cieliebak, Mark; Magid, Amani; Pradarelli, Beatrice |
2017 | End-to-end trainable system for enhancing diversity in natural language generation | Deriu, Jan Milan; Cieliebak, Mark |