WikiGUM: Exhaustive Entity Linking for Wikification in 12 Genres

Jessica Lin; Amir Zeldes

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arXiv · 2109.07449

WikiGUM: Exhaustive Entity Linking for Wikification in 12 Genres

Jessica Lin·Amir Zeldes

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Abstract

Previous work on Entity Linking has focused on resources targeting non-nested proper named entity mentions, often in data from Wikipedia, i.e. Wikification. In this paper, we present and evaluate WikiGUM, a fully wikified dataset, covering all mentions of named entities, including their non-named and pronominal mentions, as well as mentions nested within other mentions. The dataset covers a broad range of 12 written and spoken genres, most of which have not been included in Entity Linking efforts to date, leading to poor performance by a pretrained SOTA system in our evaluation. The availability of a variety of other annotations for the same data also enables further research on entities in context.

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Jessica Lin, Amir Zeldes. 2021-09-15. WikiGUM: Exhaustive Entity Linking for Wikification in 12 Genres. https://arxiv.org/abs/2109.07449

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