Automatic verb classification using distributions of grammatical features
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Role of verbs in document analysis
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Role of word sense disambiguation in lexical acquisition: predicting semantics from syntactic cues
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Using a probabilistic class-based lexicon for lexical ambiguity resolution
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Clustering verbs semantically according to their alternation behaviour
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Acquiring lexical generalizations from corpora: a case study for diathesis alternations
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
A model-theoretic coreference scoring scheme
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Clustering adjectives for class acquisition
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
A general feature space for automatic verb classification
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Experiments on the choice of features for learning verb classes
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Clustering polysemic subcategorization frame distributions semantically
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Spectral clustering for German verbs
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Semi-supervised verb class discovery using noisy features
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Experiments on the Automatic Induction of German Semantic Verb Classes
Computational Linguistics
Improving the accuracy of subcategorizations acquired from corpora
ACLstudent '04 Proceedings of the ACL 2004 workshop on Student research
Automatic acquisition of adjectival subcategorization from corpora
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Subcategorization acquisition and evaluation for Chinese verbs
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Acquisition of semantic classes for adjectives from distributional evidence
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Improving English subcategorization acquisition with diathesis alternations as heuristic information
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Automatic recognition of German news focusing on future-directed beliefs and intentions
Computer Speech and Language
A general feature space for automatic verb classification
Natural Language Engineering
Clustering Hungarian verbs on the basis of complementation patterns
ACL '07 Proceedings of the 45th Annual Meeting of the ACL: Student Research Workshop
Using selectional profile distance to detect verb alternations
CLS '04 Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics
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DeepLA '05 Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition
Unsupervised induction of semantic roles
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Acquiring concept hierarchies of adjectives from corpora
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Hierarchical verb clustering using graph factorization
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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The paper describes the application of k-Means, a standard clustering technique, to the task of inducing semantic classes for German verbs. Using probability distributions over verb subcategorisation frames, we obtained an intuitively plausible clustering of 57 verbs into 14 classes. The automatic clustering was evaluated against independently motivated, hand-constructed semantic verb classes. A series of post-hoc cluster analyses explored the influence of specific frames and frame groups on the coherence of the verb classes, and supported the tight connection between the syntactic behaviour of the verbs and their lexical meaning components.