Papers by Emily Silcock

1 papers
Contrastive Entity Coreference and Disambiguation for Historical Texts (2024.emnlp-main)

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Challenge: Existing methods for disambiguating historical documents are not accurate for historical documents, which are replete with individuals not remembered in contemporary knowledge bases.
Approach: They propose to train bi-encoder models for coreferencing and disambiguating individuals in historical texts and evaluate them on a historical newswire benchmark.
Outcome: The proposed model outperforms existing models on the historical newswire benchmark and on other datasets.

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