大规模数据事件相关分析的概念和实践步骤

EVENTS@ACL Pub Date : 2014-06-01 DOI:10.3115/v1/W14-2906

Fatemeh Torabi Asr, J. Sonntag, Yulia Grishina, Manfred Stede

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引用次数: 4

摘要

该方法采用一个简单的概念模型来研究事件，并将共引用解析任务分为语义类检测和基于相似度的匹配两步。从这个角度来看，实现了一种算法来对大规模语料库中的事件提及进行聚类。来自AQUAINT TimeML的测试数据的结果显示，在事件提及的上下文中，语义约定与可用信息是如何影响共同引用分析中的决策的。

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Conceptual and Practical Steps in Event Coreference Analysis of Large-scale Data

A simple conceptual model is employed to investigate events, and break the task of coreference resolution into two steps: semantic class detection and similaritybased matching. With this perspective an algorithm is implemented to cluster event mentions in a large-scale corpus. Results on test data from AQUAINT TimeML, which we annotated manually with coreference links, reveal how semantic conventions vs. information available in the context of event mentions affect decisions in coreference analysis.

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EVENTS@ACL

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