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Register a new userWikiGUM: Exhaustive Entity Linking for Wikification in 12 Genres
Wikigum: كيان شامل يربط ل Wikification في 12 نوعا
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ركز العمل السابق على ربط الكيان على الموارد المستهدفة التي يذكر الكيان المسمى غير المتداخلة غير المتداخلة، وغالبا ما تكون في بيانات من ويكيبيديا، أي Wikification.في هذه الورقة، نقدم وتقييم Wikigum، ومجموعة بيانات مميزة بالكامل، والتي تغطي جميع الإشراهات من الكيانات المسماة، بما في ذلك تذكرها غير المسماة وغير المسماة، وكذلك تذكر متداخلة داخل الإشراهات الأخرى.تغطي مجموعة البيانات مجموعة واسعة من 12 نوعا مكتوبا وتحطمنا، والتي لم يتم تضمين معظمها في كيان يربط الجهود حتى الآن، مما يؤدي إلى ضعف الأداء من قبل نظام Sota المحدد في تقييمنا.يتيح توافر مجموعة متنوعة من التعليقات التوضيحية الأخرى لنفس البيانات أيضا البحث عن كيانات في السياق.
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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