Selection and information: a class-based approach to lexical relationships
Selection and information: a class-based approach to lexical relationships
Generalizing case frames using a thesaurus and the MDL principle
Computational Linguistics
Inducing a semantically annotated lexicon via EM-based clustering
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Learning class-to-class selectional preferences
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Building a dynamic lexicon from a digital library
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
The development of the Index Thomisticus Treebank valency lexicon
LaTeCH-SHELT&R '09 Proceedings of the EACL 2009 Workshop on Language Technology and Resources for Cultural Heritage, Social Sciences, Humanities, and Education
Revising the wordnet domains hierarchy: semantics, coverage and balancing
MLR '04 Proceedings of the Workshop on Multilingual Linguistic Ressources
A probabilistic model of early argument structure acquisition
A probabilistic model of early argument structure acquisition
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We present a system that automatically induces Selectional Preferences (SPs) for Latin verbs from two treebanks by using Latin WordNet. Our method overcomes some of the problems connected with data sparseness and the small size of the input corpora. We also suggest a way to evaluate the acquired SPs on unseen events extracted from other Latin corpora.