Christian Scheible
Christian Scheible
Institut für Maschinelle Sprachverarbeitung, Universität Stuttgart
Verified email at ims.uni-stuttgart.de
Title
Cited by
Cited by
Year
Active learning with amazon mechanical turk
F Laws, C Scheible, H Schütze
Proceedings of the conference on empirical methods in natural language …, 2011
902011
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
422015
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
412008
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
382010
Sentiment translation through lexicon induction
C Scheible
Proceedings of the ACL 2010 student research workshop, 25-30, 2010
292010
Sentiment relevance
C Scheible, H Schütze
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
282013
Bootstrapping Sentiment Labels For Unannotated Documents With Polarity PageRank.
C Scheible, H Schütze
LREC, 1230-1234, 2012
182012
Model architectures for quotation detection
C Scheible, R Klinger, S Padó
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
172016
Sentiment translation through multi-edge graphs
C Scheible, F Laws, L Michelbacher, H Schütze
Coling 2010: Posters, 1104-1112, 2010
172010
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
162009
Cutting recursive autoencoder trees
C Scheible, H Schütze
arXiv preprint arXiv:1301.2811, 2013
122013
An Evaluation of Predicate Argument Clustering using Pseudo-Disambiguation.
C Scheible
LREC, 2010
62010
Two SVDs produce more focal deep learning representations
H Schuetze, C Scheible
arXiv preprint arXiv:1301.3627, 2013
52013
Unsupervised sentiment analysis with a simple and fast Bayesian model using Part-of-Speech feature selection.
C Scheible, H Schütze
KONVENS, 269-273, 2012
52012
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
42017
The Topology of Semantic Knowledge
J Dubuisson, JP Eckmann, C Scheible, H Schütze
EMNLP 2013, 2013
42013
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
22018
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
22014
Supervised and semi-supervised statistical models for word-based sentiment analysis
C Scheible
22014
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
2014
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