Specialising Word Vectors for Lexical Entailment
Table 2: Analysing the importance of the synergy in the full lear model on the final performance on wbless, bless, HyperLex-All (hl-a) and HyperLex-Nouns (hl-n). Input: fastText. D2.
['[EMPTY]', 'wbless', 'bibless', 'hl-a', 'hl-n']
Why Symmetric + Asymmetric? We compare three variants of lear: 1) a symmetric variant which does not arrange vector norms using the LEj(BL) term (sym-only); 2) a variant which arranges norms, but does not use le constraints as additional symmetric attract constraints (asym-only); and 3) the full lear model, which uses both cost terms (full). This table shows that, while the stand-alone asym-only term seems more beneficial than the sym-only one, using the two terms jointly yields the strongest performance across all LE tasks.