A feature based relation classification approach is presented, in which probabilistic and semantic relatedness features between patterns and relation types ...

A feature based relation classification approach is presented, in which probabilistic and semantic relatedness features between patterns and relation types ...

Abstract. A feature based relation classification approach is presented, in which probabilistic and semantic relatedness features between patterns and rela-.

A feature based relation classification approach is presented, in which probabilistic and semantic relatedness features between patterns and relation.

Jin-Xia Huang, Pum-Mo Ryu, Key-Sun Choi: An Empirical Research on Extracting Relations from Wikipedia Text. IDEAL 2008: 241-249.

A relationship extraction task requires the detection and classification of semantic relationship mentions within a set of artifacts

A feature based relation classification approach is presented in this paper. We aimed to exact relation candidates from Wikipedia texts.

Sep 10, 2024 · As a popular and fundamental task, information extraction (IE) aims to extract structured knowledge of interest from unstructured plain text.

In this paper, we investigate the problem of extracting prerequisite relations among Wikipedia concepts. We take advantage of Wikipedia clickstream data.

It is of great benefit to semi-automatically extract relations from the free text of Wikipedia using the structured content readily available in it. Pattern ...