An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Segmentation Using Eigenvectors: A Unifying View
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Automatic verb classification based on statistical distributions of argument structure
Computational Linguistics
Using semantic preferences to identify verbal participation in role switching alternations
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
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
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
Inducing German semantic verb classes from purely syntactic subcategorisation information
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Clustering polysemic subcategorization frame distributions semantically
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Automatic classification of verbs in biomedical texts
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Clustering and searching WWW images using link and page layout analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Extended lexical-semantic classification of English verbs
CLS '04 Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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
Unsupervised and constrained Dirichlet process mixture models for verb clustering
GEMS '09 Proceedings of the Workshop on Geometrical Models of Natural Language Semantics
Spectral clustering for Chinese word
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Metaphor identification using verb and noun clustering
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Investigating the cross-linguistic potential of VerbNet: style classification
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Visualization of the similar protein structures using SOM neural network and graph spectra
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Polysemous verb classification using subcategorization acquisition and graph-based clustering
LTC'09 Proceedings of the 4th conference on Human language technology: challenges for computer science and linguistics
Classifying French verbs using French and English lexical resources
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Statistical metaphor processing
Computational Linguistics
Feeding the second screen: semantic linking based on subtitles
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
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We describe and evaluate the application of a spectral clustering technique (Ng et al., 2002) to the unsupervised clustering of German verbs. Our previous work has shown that standard clustering techniques succeed in inducing Levin-style semantic classes from verb subcategorisation information. But clustering in the very high dimensional spaces that we use is fraught with technical and conceptual difficulties. Spectral clustering performs a dimensionality reduction on the verb frame patterns, and provides a robustness and efficiency that standard clustering methods do not display in direct use. The clustering results are evaluated according to the alignment (Christianini et al., 2002) between the Gram matrix defined by the cluster output and the corresponding matrix defined by a gold standard.