Papers with post-processing model
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources (N18-1)
Copied to clipboard
| Challenge: | Word vector specialisation is a portable, light-weight approach to fine-tuning distributional word vector spaces by injecting external knowledge from rich lexical resources such as WordNet. |
| Approach: | They propose a constraint-driven vector space specialisation method that embeds external knowledge into lexical resources into a deep neural network to specialise unseen words. |
| Outcome: | The proposed method preserves useful linguistic knowledge for seen words while propagating external signal to unseen words to improve their vector representations. |