Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Learning class-to-class selectional preferences
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Computational Linguistics
Semantic taxonomy induction from heterogenous evidence
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Efficient parsing of highly ambiguous context-free grammars with bit vectors
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Extracting word sets with non-taxonomical relation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Extracting hypernym pairs from the web
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Can human verb associations help identify salient features for semantic verb classification?
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
SemEval-2007 task 04: classification of semantic relations between nominals
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Enriching wordnets with new relations and with event and argument structures
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Using the structure of a conceptual network in computing semantic relatedness
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Hi-index | 0.00 |
In this paper we will report on work in progress towards increasing the relational density of the German wordnet. It is also an experiment in corpus-based lexical acquisition. The source of the acquisition is a large corpus of German newspaper texts. The target is the German wordnet (GermaNet). We acquire a new type of lexical-semantic relation, i.e. the relation between the verbal head of a predicate and the nominal head of its argument. We investigate how the insertion of instances of this relation into the German wordnet GermaNet affects the neighbourhood of the nodes which are connected by an instance of the new relation. Special attention is given in this paper to the language-specific aspects of the acquisition process.