Using a Weighted Semantic Network for Lexical Semantic Relatedness
Reda Siblini, Leila Kosseim · 2013
The measurement of semantic relatedness between two words is an important met-ric for many natural language processing applications. In this paper, we present a novel approach for measuring semantic re-latedness that is based on a weighted se-mantic network. This approach explores the use of a lexicon, semantic relation types as weights, and word definitions as a basis to calculate semantic related-ness. Our results show that our approach outperforms many lexicon-based methods to semantic relatedness, especially on the TOEFL synonym test, achieving an accu-racy of 91.25%. 1