Christian Scheible


2016

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Model Architectures for Quotation Detection
Christian Scheible | Roman Klinger | Sebastian Padó
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2015

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Multilingual Reliability and “Semantic” Structure of Continuous Word Spaces
Maximilian Köper | Christian Scheible | Sabine Schulte im Walde
Proceedings of the 11th International Conference on Computational Semantics

2014

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Multi-Domain Sentiment Relevance Classification with Automatic Representation Learning
Christian Scheible | Hinrich Schütze
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers

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Picking the Amateur’s Mind - Predicting Chess Player Strength from Game Annotations
Christian Scheible | Hinrich Schütze
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers

2013

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The Topology of Semantic Knowledge
Jimmy Dubuisson | Jean-Pierre Eckmann | Christian Scheible | Hinrich Schütze
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

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Sentiment Relevance
Christian Scheible | Hinrich Schütze
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2012

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Bootstrapping Sentiment Labels For Unannotated Documents With Polarity PageRank
Christian Scheible | Hinrich Schütze
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

We present a novel graph-theoretic method for the initial annotation of high-confidence training data for bootstrapping sentiment classifiers. We estimate polarity using topic-specific PageRank. Sentiment information is propagated from an initial seed lexicon through a joint graph representation of words and documents. We report improved classification accuracies across multiple domains for the base models and the maximum entropy model bootstrapped from the PageRank annotation.

2011

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Active Learning with Amazon Mechanical Turk
Florian Laws | Christian Scheible | Hinrich Schütze
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

2010

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A Linguistically Grounded Graph Model for Bilingual Lexicon Extraction
Florian Laws | Lukas Michelbacher | Beate Dorow | Christian Scheible | Ulrich Heid | Hinrich Schütze
Coling 2010: Posters

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Sentiment Translation through Multi-Edge Graphs
Christian Scheible | Florian Laws | Lukas Michelbacher | Hinrich Schütze
Coling 2010: Posters

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Sentiment Translation through Lexicon Induction
Christian Scheible
Proceedings of the ACL 2010 Student Research Workshop

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An Evaluation of Predicate Argument Clustering using Pseudo-Disambiguation
Christian Scheible
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

Schulte im Walde et al. (2008) presented a novel approach to semantic verb classication. The predicate argument model (PAC) presented in their paper models selectional preferences by using soft clustering that incorporates the Expectation Maximization (EM) algorithm and the MDL principle. In this paper, I will show how the model handles the task of differentiating between plausible and implau- sible combinations of verbs, subcategorization frames and arguments by applying the pseudo-disambiguation evaluation method. The predicate argument clustering model will be evaluated in comparison with the latent semantic clustering model by Rooth et al. (1999). In particular, the influences of the model parameters, data frequency, and the individual components of the predicate argument model are examined. The results of these experiments show that (i) the selectional preference model overgeneralizes over arguments for the purpose of a pseudo-disambiguation task and that (ii) pseudo-disambiguation should not be used as a universal indicator for the quality of a model.

2009

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A Graph-Theoretic Algorithm for Automatic Extension of Translation Lexicons
Beate Dorow | Florian Laws | Lukas Michelbacher | Christian Scheible | Jason Utt
Proceedings of the Workshop on Geometrical Models of Natural Language Semantics

2008

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Combining EM Training and the MDL Principle for an Automatic Verb Classification Incorporating Selectional Preferences
Sabine Schulte im Walde | Christian Hying | Christian Scheible | Helmut Schmid
Proceedings of ACL-08: HLT