Papers by Armins Stepanjans
Identifying and Explaining Discriminative Attributes (D19-1)
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| Challenge: | Existing word vector representation models lack latent features (dense vectors) identifying discriminative attributes can motivate the development of word vector models with finer semantics. |
| Approach: | They propose to use a word vector representation model to identify discriminative attributes by combining knowledge graphs with images to construct explicit vector spaces. |
| Outcome: | The proposed model performs comparable to state-of-the-art systems while providing full model transparency and explainability. |