| Active learning with amazon mechanical turk F Laws, C Scheible, H Schütze Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011 | 112 | 2011 |
| Multilingual reliability and “semantic” structure of continuous word spaces M Köper, C Scheible, SS im Walde Proceedings of the 11th international conference on computational semantics …, 2015 | 63 | 2015 |
| Combining EM training and the MDL principle for an automatic verb classification incorporating selectional preferences SS im Walde, C Hying, C Scheible, H Schmid Proceedings of ACL-08: HLT, 496-504, 2008 | 47 | 2008 |
| A linguistically grounded graph model for bilingual lexicon extraction F Laws, L Michelbacher, B Dorow, C Scheible, U Heid, H Schütze Coling 2010: Posters, 614-622, 2010 | 41 | 2010 |
| Model architectures for quotation detection C Scheible, R Klinger, S Padó Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 37 | 2016 |
| Sentiment relevance C Scheible, H Schütze Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 30 | 2013 |
| Sentiment translation through lexicon induction C Scheible Proceedings of the ACL 2010 student research workshop, 25-30, 2010 | 29 | 2010 |
| Bootstrapping Sentiment Labels For Unannotated Documents With Polarity PageRank. C Scheible, H Schütze LREC, 1230-1234, 2012 | 21 | 2012 |
| Sentiment translation through multi-edge graphs C Scheible, F Laws, L Michelbacher, H Schütze Coling 2010: Posters, 1104-1112, 2010 | 19 | 2010 |
| A graph-theoretic algorithm for automatic extension of translation lexicons B Dorow, F Laws, L Michelbacher, C Scheible, J Utt Proceedings of the Workshop on Geometrical Models of Natural Language …, 2009 | 17 | 2009 |
| Cutting recursive autoencoder trees C Scheible, H Schütze arXiv preprint arXiv:1301.2811, 2013 | 14 | 2013 |
| What you use, not what you do: Automatic classification and similarity detection of recipes H Kicherer, M Dittrich, L Grebe, C Scheible, R Klinger Data & Knowledge Engineering 117, 252-263, 2018 | 10 | 2018 |
| An Evaluation of Predicate Argument Clustering using Pseudo-Disambiguation. C Scheible LREC, 2010 | 6 | 2010 |
| What you use, not what you do: automatic classification of recipes H Kicherer, M Dittrich, L Grebe, C Scheible, R Klinger International Conference on Applications of Natural Language to Information …, 2017 | 5 | 2017 |
| Two svds produce more focal deep learning representations H Schuetze, C Scheible arXiv preprint arXiv:1301.3627, 2013 | 5 | 2013 |
| The Topology of Semantic Knowledge J Dubuisson, JP Eckmann, C Scheible, H Schütze EMNLP 2013, 2013 | 5 | 2013 |
| Supervised and semi-supervised statistical models for word-based sentiment analysis C Scheible | 4 | 2014 |
| Unsupervised sentiment analysis with a simple and fast Bayesian model using Part-of-Speech feature selection. C Scheible, H Schütze KONVENS, 269-273, 2012 | 4 | 2012 |
| Picking the Amateur’s Mind-Predicting Chess Player Strength from Game Annotations C Scheible, H Schütze Proceedings of COLING 2014, the 25th International Conference on …, 2014 | 2 | 2014 |
| Multi-domain sentiment relevance classification with automatic representation learning C Scheible, H Schütze Proceedings of the 14th Conference of the European Chapter of the …, 2014 | 2 | 2014 |
