Experiments with Reasoning for Temporal Relations between Events
Experiments with Reasoning for Temporal Relations between Events
复制标题
事件之间时间关系的推理实验
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
Munirathnam Srikanth
中科院分区：
文献类型：
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作者：
M. Tatu;Munirathnam Srikanth
很少有人尝试调查机器学习框架内的时间推理的实用性，以在新闻文章中事件之间进行时间关系分类。本文介绍了三种设置，时间推理辅助机学会了时间关系的分类器：（1）扩展用于学习的数据集； （2）自动识别的关系之间发现不一致之处； （3）在多个时间关系中进行选择。功能工程是我们工作中提高分类准确性的另一项努力。
Few attempts have been made to investigate the utility of temporal reasoning within machine learning frameworks for temporal relation classification between events in news articles. This paper presents three settings where temporal reasoning aids machine learned classifiers of temporal relations: (1) expansion of the dataset used for learning; (2) detection of inconsistencies among the automatically identified relations; and (3) selection among multiple temporal relations. Feature engineering is another effort in our work to improve classification accuracy.