Papers with in-KB

2 papers
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking (2020.tacl-1)

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Challenge: Existing approaches to cross-lingual entity linking (XEL) do not extend well to low-resource languages with few Wikipedia pages.
Approach: They propose to improve the model by combining Wikipedia references with a list of plausible candidate entities.
Outcome: The proposed method yields 16.9% in Top-30 gold candidate recall compared with state-of-the-art models.
Argument-Aware Approach To Event Linking (2024.findings-acl)

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Challenge: Prior research in event linking has mainly borrowed methods from entity linking, overlooking distinct features of events.
Approach: They propose an argument-aware method to improve event linking models by augmenting input text with tagged event argument information.
Outcome: The proposed method improves in-KB and out-of-KB queries and training examples.

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