Extraction of Semantic Relations between Concepts with KNN Algorithms on Wikipedia
Alexander Panchenko, Cédrick Fairon · 2012
Abstract. This paper presents methods for extraction of semantic relations be-tween words. The methods rely on the k-nearest neighbor algorithms and two semantic similarity measures to extract relations from the abstracts of Wikipe-dia articles. We analyze the proposed methods and evaluate their performance. Precision of the extraction with the best method achieves 83%. We also present an open source system which effectively implements the described algorithms.