WikiGUM: Exhaustive Entity Linking for Wikification in 12 Genres

• URL: http://arxiv.org/abs/2109.07449v1
• Date: Wed, 15 Sep 2021 17:35:24 GMT
• Title: WikiGUM: Exhaustive Entity Linking for Wikification in 12 Genres
• Authors: Jessica Lin, Amir Zeldes
• Abstract summary: We present and evaluate WikiGUM, a fully wikified dataset covering all mentions of named entities. 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.
• Score: 6.619650459583443
• License: http://creativecommons.org/licenses/by/4.0/
• 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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