Extending Wordnet with Hypernyms and Siblings Acquired from Wikipedia

Extending Wordnet with Hypernyms and Siblings Acquired from Wikipedia - scientific work related to Wikipedia quality published in 2011, written by Ichiro Yamada, Jong-Hoon Oh, Chikara Hashimoto, Kentaro Torisawa, Jun’ichi Kazama, Stijn De Saeger and Takuya Kawada.

Overview

This paper proposes a method for extending WordNet with terms in Wikipedia. Authors method identifies a WordNet synset by integrating evidence derived from the structure of an article in Wikipedia and distributional similarity of terms. Unlike previous methods, utilizing the hypernym and siblings of the target term acquired from Wikipedia, the proposed method can deal with terms other than Wikipedia article titles and can work well even when reliable distributional similarity of a target term is unavailable. Experiments show that the proposed method can identify synsets for 2,039,417 inputs at precision rate of 84%. Furthermore, it is estimated from the experimental results that there should be 328,572 terms among all the inputs whose synset method can correctly identify, while previous methods relying only on distributional similarity and lexico-syntactic patterns cannot.