Computational Linguistics
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
A probabilistic account of logical metonymy
Computational Linguistics
Lexical semantic techniques for corpus analysis
Computational Linguistics - Special issue on using large corpora: II
Enjoy the paper: lexical semantics via lexicology
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Learning noun-modifier semantic relations with corpus-based and WordNet-based features
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Hi-index | 0.00 |
This paper presents an approach to automatic acquisition of the argument-predicate relations from a semantically annotated corpus. We use SALSA, a German newspaper corpus manually annotated with role-semantic information based on frame semantics. Since the relatively small size of SALSA does not allow to estimate the semantic relatedness in the extracted argument-predicate pairs, we use a larger corpus for ranking. Two experiments have been performed in order to evaluate the proposed approach. In the first experiment we compare automatically extracted argument-predicate relations with the gold standard formed from associations provided by human subjects. In the second experiment we calculate correlation between automatic relatedness measure and human ranking of the extracted relations.