Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Espresso: leveraging generic patterns for automatically harvesting semantic relations
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Automatically creating datasets for measures of semantic relatedness
LD '06 Proceedings of the Workshop on Linguistic Distances
Reducing semantic drift with bagging and distributional similarity
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Automatic selection of heterogeneous syntactic features in semantic similarity of polish nouns
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
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Espresso is a pattern-based algorithm of extracting lexical-semantic relations, defined for English. We present its adaptation to Polish. We consider not only the technicalities such as the availability of language-processing tools for Polish, but also pattern structures which leverage the specificity of a strongly inflected language. We propose a new method of computing the reliability measure of extraction; this leads to a modified algorithm which we have named Estratto. In this paper we investigate the influence of additional lexico-semantic data and information from generic patterns.