Papers with WikilinksNED test set
Effective Use of Context in Noisy Entity Linking (D18-1)
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| Challenge: | Effectively using an entity mention's context to disambiguate it is the crux of the entity linking task. |
| Approach: | They propose to use convolutional neural networks to extract cues from context to effectively disambiguate between closely related concepts. |
| Outcome: | The proposed model outperforms previous work on the WikilinksNED test set by 2.8% absolute. |