We apply pattern-based methods for collecting hypernym relations from the web. We compare our approach with hypernym extraction from morphological clues and from large text corpora. We show that the a...
Previous work has shown that automatic methods can be used in building semantic lexicons. This work goes a step further by automatically creating not just clusters of related words, but a hierarchy of...
Previous work has shown that automatic methods can be used in building semantic lexicons. This work goes a step further by automatically creating not just clusters of related words, but a hierarchy of...
Previous work has shown that automatic methods can be used in building semantic lexicons. This work goes a step further by automatically creating not just clusters of related words, but a hierarchy of...
In this study, we apply pattern-based methods to text for extracting lexical data, in particular the hypernymy relation. We automatically derive thousands of interesting lexical patterns like such NP ...
Previous work has shown that automatic methods can be used in building semantic lexicons. This work goes a step further by automatically creating not just clusters of related words, but a hierarchy of...
Abstract. Recent developments in computational terminology call for the design of multiple and complementary tools for the acquisition, the structuring and the exploitation of terminological data. Thi...
This paper describes how to automatically classify the functional relations from the Factotum knowledge base via a statistical machine learning algorithm. This incorporates a method for inferring prep...