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An Entity-Centric Coreference Resolution System for Person Entities with Rich Linguistic Information

机译:具有丰富语言信息的人员实体的以实体为中心的共指解析系统

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This paper presents a first version of LinkPeople, an entity-centric system for coreference resolution of person entities. The approach combines (ⅰ) a multi-pass architecture which takes advantage of entity features at document-level with (ⅱ) a set of linguistically-motivated constraints and rules which allows the system to restrict the candidates of a given mention. The paper includes evaluations and error analysis of LinkPeople in 3 different languages, achieving promising results (more than 81% F1 in different metrics). Both the system and the corpora are freely distributed.
机译:本文介绍了LinkPeople的第一个版本,这是一个以实体为中心的系统,用于共参考解析个人实体。该方法将(ⅰ)利用文档级别的实体功能的多遍体系结构与(ⅱ)一组出于语言动机的约束和规则相结合,从而使系统能够限制给定提及的候选对象。本文包括使用3种不同语言对LinkPeople进行评估和错误分析,取得了可喜的结果(不同指标中的F1超过81%)。系统和语料库都是免费分发的。

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