Temporal Relations with Signals: The Case of Italian Temporal Prepositions

Tommaso Caselli, F. Dell’Orletta, I. Prodanof
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Abstract

This paper presents a Maximum Entropy tagger for the identification of intra-sentential temporal relations between temporal expressions and eventualities mediated by temporal signals in constructions of the kind "eventuality + signal + temporal relation". The tagger reports an accuracy rate of 90.8%, outperforming the baseline (81.8%). One of the main results of this work is represented by the identification of a set of robust features which may be automatically obtained with a relative computational effort.
带有信号的时间关系:以意大利语时间介词为例
本文提出了一种最大熵标注器,用于识别“结果+信号+时间关系”结构中时间表达式与由时间信号介导的结果之间的句内时间关系。标注器报告的准确率为90.8%,优于基线(81.8%)。这项工作的主要结果之一是通过识别一组鲁棒特征来表示,这些特征可以通过相对的计算工作量自动获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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