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Turkish Coreference Resolution

机译:土耳其共同引用决议

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摘要

This paper presents the state-of-the-art results in Turkish coreference resolution (CR) which is a task of determining sets of mentions which identify the same real-world entity (e.g. a person, a place, a thing, an event). The proposed system uses support vector machines and solves the CR task with a mention-pair model that basically accepts mention couples and decides on whether they are coreferential with each other or not. The results are evaluated on Marmara Turkish Coreference Corpus by using well-known evaluation metrics (viz. MUC, B
机译:本文介绍了土耳其共指解决方案(CR)的最新结果,该任务是确定可标识同一现实世界实体(例如人,地点,事物,事件)的陈述集的任务。所提出的系统使用支持向量机,并通过一个提及对模型解决CR任务,该模型基本上接受提及对,并确定它们是否相互成对。通过使用众所周知的评估指标(即MUC,B,

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