Extraction of Semantic Relations Between Concepts with Knn Algorithms on Wikipedia

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Extraction of Semantic Relations Between Concepts with Knn Algorithms on Wikipedia
Authors
Alexander Panchenko
Cédrick Fairon
Publication date
2012
Links
Original

Extraction of Semantic Relations Between Concepts with Knn Algorithms on Wikipedia - scientific work related to Wikipedia quality published in 2012, written by Alexander Panchenko and Cédrick Fairon.

Overview

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. Authors analyze the proposed methods and evaluate their performance. Precision of the extraction with the best method achieves 83%. Authors also present an open source system which effectively implements the described algorithms.

Embed

Wikipedia Quality

Panchenko, Alexander; Fairon, Cédrick. (2012). "[[Extraction of Semantic Relations Between Concepts with Knn Algorithms on Wikipedia]]".

English Wikipedia

{{cite journal |last1=Panchenko |first1=Alexander |last2=Fairon |first2=Cédrick |title=Extraction of Semantic Relations Between Concepts with Knn Algorithms on Wikipedia |date=2012 |url=https://wikipediaquality.com/wiki/Extraction_of_Semantic_Relations_Between_Concepts_with_Knn_Algorithms_on_Wikipedia}}

HTML

Panchenko, Alexander; Fairon, Cédrick. (2012). &quot;<a href="https://wikipediaquality.com/wiki/Extraction_of_Semantic_Relations_Between_Concepts_with_Knn_Algorithms_on_Wikipedia">Extraction of Semantic Relations Between Concepts with Knn Algorithms on Wikipedia</a>&quot;.