Papers by Özge Sevgili

1 papers
Improving Neural Entity Disambiguation with Graph Embeddings (P19-2)

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Challenge: Entity Disambiguation (ED) is the task of linking an ambiguous entity mention to a corresponding entry in a knowledge base.
Approach: They propose a method that integrates structured information from the knowledge base with unstructured information from text-based representations.
Outcome: The proposed method improves on a graph of hyperlinks between Wikipedia articles and a state-of-the-art neural ED model.

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