Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
Table 7: Comparison of the intrinsic quality (SimLex-999) of bilingual spaces produced by the Attract-Repel method to those produced by five state-of-the-art methods for constructing bilingual vector spaces.
['[BOLD] Model', '[BOLD] EN-IT  [BOLD] EN', '[BOLD] EN-IT  [BOLD] IT', '[BOLD] EN-DE  [BOLD] EN', '[BOLD] EN-DE  [BOLD] DE']
For both languages in both language pairs, Attract-Repel achieves substantial gains over all of these methods. In the next section, we show that these differences in intrinsic performance lead to substantial gains in downstream evaluation.