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arXiv · 2210.06164

Focusing on Context is NICE: Improving Overshadowed Entity Disambiguation

Vera Provatorova·Simone Tedeschi·Svitlana Vakulenko·Roberto Navigli·Evangelos Kanoulas
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Abstract

Entity disambiguation (ED) is the task of mapping an ambiguous entity mention to the corresponding entry in a structured knowledge base. Previous research showed that entity overshadowing is a significant challenge for existing ED models: when presented with an ambiguous entity mention, the models are much more likely to rank a more frequent yet less contextually relevant entity at the top. Here, we present NICE, an iterative approach that uses entity type information to leverage context and avoid over-relying on the frequency-based prior. Our experiments show that NICE achieves the best performance results on the overshadowed entities while still performing competitively on the frequent entities.

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Vera Provatorova, Simone Tedeschi, Svitlana Vakulenko, Roberto Navigli, Evangelos Kanoulas. 2022-10-12. Focusing on Context is NICE: Improving Overshadowed Entity Disambiguation. https://arxiv.org/abs/2210.06164

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