Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Table 5: Lexical simplification performance with post-specialisation applied on three input spaces.
['Vectors', 'Specialisation', 'Acc.', 'Ch.']
LS results are summarised in Tab. Post-specialised vector spaces consistently yield 5-6% gain in Accuracy compared to respective distributional vectors and embeddings specialised with the state-of-the-art Attract-Repel model. Similar to DST evaluation, improvements over Attract-Repel demonstrate the importance of specialising the vectors of the entire vocabulary and not only the vectors of words from the external constraints.