Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
Class-based n-gram models of natural language
Computational Linguistics
Class-based probability estimation using a semantic hierarchy
Computational Linguistics
Generalizing case frames using a thesaurus and the MDL principle
Computational Linguistics
An information extraction core system for real world German text processing
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Determinants of adjective-noun plausibility
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Explaining away ambiguity: learning verb selectional preference with Bayesian networks
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Evaluating smoothing algorithms against plausibility judgements
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Using the web to overcome data sparseness
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Finding translations for low-frequency words in comparable corpora
Machine Translation
Discriminative learning of selectional preference from unlabeled text
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A structured vector space model for word meaning in context
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A cognitive model for the representation and acquisition of verb selectional preferences
CACLA '07 Proceedings of the Workshop on Cognitive Aspects of Computational Language Acquisition
Generalizing over lexical features: selectional preferences for semantic role classification
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Improving verb clustering with automatically acquired selectional preferences
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Cross-lingual induction of selectional preferences with bilingual vector spaces
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Word sense disambiguation methods
Programming and Computing Software
Semi-supervised WSD in selectional preferences with semantic redundancy
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
A flexible, corpus-driven model of regular and inverse selectional preferences
Computational Linguistics
Semantic relations in bilingual lexicons
ACM Transactions on Speech and Language Processing (TSLP)
Modelling selectional preferences in a lexical hierarchy
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Statistical metaphor processing
Computational Linguistics
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Previous work on the induction of selectional preferences has been mainly carried out for English and has concentrated almost exclusively on verbs and their direct objects. In this paper, we focus on class-based models of selectional preferences for German verbs and take into account not only direct objects, but also subjects and prepositional complements. We evaluate model performance against human judgments and show that there is no single method that overall performs best. We explore a variety of parametrizations for our models and demonstrate that model combination enhances agreement with human ratings.