Reports from as early as in (Boyd-Graber et al., 2006) showed that major similarity measures could not reproduce the evocation ratings well: the best result reported in the literature was as low as ρ = 0.131 (ρ: 43,459 no-evocation (original) 9,715 no-evocation (incorporated from PWN) 90,058 Total 428,790 the Spearman correlation coefficient), which was achieved with semantic vectors derived by applying the Latent Semantic Analysis (LSA) method (Deerwester et al., 1990) toward the British National Corpus.
(Kotlerman et al., 2010) and (Gawron, 2014) make use of dependency parses acquired from textual corpora as features.