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Christian Scheible
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2010 – 2019
- 2018
- [j1]Hanna Kicherer, Marcel Dittrich, Lukas Grebe, Christian Scheible, Roman Klinger:
What you use, not what you do: Automatic classification and similarity detection of recipes. Data Knowl. Eng. 117: 252-263 (2018) - 2017
- [c19]Hanna Kicherer, Marcel Dittrich, Lukas Grebe, Christian Scheible, Roman Klinger:
What You Use, Not What You Do: Automatic Classification of Recipes. NLDB 2017: 197-209 - 2016
- [c18]Christian Scheible, Roman Klinger, Sebastian Padó
:
Model Architectures for Quotation Detection. ACL (1) 2016 - 2015
- [c17]Maximilian Köper, Christian Scheible, Sabine Schulte im Walde:
Multilingual Reliability and "Semantic" Structure of Continuous Word Spaces. IWCS 2015: 40-45 - 2014
- [b1]Christian Scheible:
Supervised and semi-supervised statistical models for word-based sentiment analysis. University of Stuttgart, 2014 - [c16]Christian Scheible, Hinrich Schütze:
Picking the Amateur's Mind - Predicting Chess Player Strength from Game Annotations. COLING 2014: 311-321 - [c15]Christian Scheible, Hinrich Schütze:
Multi-Domain Sentiment Relevance Classification with Automatic Representation Learning. EACL 2014: 200-204 - 2013
- [c14]Christian Scheible, Hinrich Schütze:
Sentiment Relevance. ACL (1) 2013: 954-963 - [c13]Jimmy Dubuisson, Jean-Pierre Eckmann, Christian Scheible, Hinrich Schütze:
The Topology of Semantic Knowledge. EMNLP 2013: 669-680 - [c12]Christian Scheible, Hinrich Schütze:
Cutting Recursive Autoencoder Trees. ICLR (Poster) 2013 - [c11]Hinrich Schütze, Christian Scheible:
Two SVDs produce more focal deep learning representations. ICLR (Workshop Poster) 2013 - 2012
- [c10]Christian Scheible, Hinrich Schütze:
Unsupervised sentiment analysis with a simple and fast Bayesian model using Part-of-Speech feature selection. KONVENS 2012: 269-273 - [c9]Christian Scheible, Hinrich Schütze:
Bootstrapping Sentiment Labels For Unannotated Documents With Polarity PageRank. LREC 2012: 1230-1234 - 2011
- [c8]Florian Laws, Christian Scheible, Hinrich Schütze:
Active Learning with Amazon Mechanical Turk. EMNLP 2011: 1546-1556 - [c7]Enrico Bertini, Juri Buchmüller, Fabian Fischer, Stephan Huber, Thomas Lindemeier, Fabian Maass, Florian Mansmann, Thomas Ramm, Michael Regenscheit, Christian Rohrdantz, Christian Scheible, Tobias Schreck
, Stephan Sellien, Florian Stoffel, Mark Tautzenberger, Matthias Zieker, Daniel A. Keim:
Visual analytics of terrorist activities related to epidemics. IEEE VAST 2011: 329-330 - [c6]Matthias Schäfer, Franz Wanner, Florian Mansmann, Christian Scheible, Verity Stennett, Anders T. Hasselrot, Daniel A. Keim:
Visual pattern discovery in timed event data. Visualization and Data Analysis 2011: 78680K - 2010
- [c5]Christian Scheible:
Sentiment Translation through Lexicon Induction. ACL (Student Research Workshop) 2010: 25-30 - [c4]Florian Laws, Lukas Michelbacher, Beate Dorow, Christian Scheible, Ulrich Heid, Hinrich Schütze:
A Linguistically Grounded Graph Model for Bilingual Lexicon Extraction. COLING (Posters) 2010: 614-622 - [c3]Christian Scheible, Florian Laws, Lukas Michelbacher, Hinrich Schütze:
Sentiment Translation through Multi-Edge Graphs. COLING (Posters) 2010: 1104-1112 - [c2]Christian Scheible:
An Evaluation of Predicate Argument Clustering using Pseudo-Disambiguation. LREC 2010
2000 – 2009
- 2008
- [c1]Sabine Schulte im Walde, Christian Hying, Christian Scheible, Helmut Schmid:
Combining EM Training and the MDL Principle for an Automatic Verb Classification Incorporating Selectional Preferences. ACL 2008: 496-504
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