Classification of telicity using cross-linguistic annotation projection
Classification of telicity using cross-linguistic annotation projection
复制标题
使用跨语言注释投影对telicity进行分类
DOI：
--
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Damyana Gateva
中科院分区：
文献类型：
--
作者：
Annemarie Friedrich;Damyana Gateva
本文研究的是可传播性的自动识别，这是一个体视化的概念。Telic事件包括一个自然终点(“她步行回家”)，而atelic事件则不包括(“她四处走动”)。认识到这种差异是理解时态自然语言的前提。在英语中，这种分类任务是困难的，因为传播性是一个隐蔽的语言范畴。相比之下，在斯拉夫语中，体是动词意义的一部分，甚至可以在机器可读的词典中找到。我们的贡献如下。我们成功地利用了额外的银标训练数据，即来自平行英语-捷克语数据的投影注释以及上下文信息，与以前的工作相比，显著改进了英语的自动远程分类。我们还创建了一个新的英语文本数据集，手动用Telicity进行标注。
This paper addresses the automatic recognition of telicity, an aspectual notion. A telic event includes a natural endpoint (“she walked home”), while an atelic event does not (“she walked around”). Recognizing this difference is a prerequisite for temporal natural language understanding. In English, this classification task is difficult, as telicity is a covert linguistic category. In contrast, in Slavic languages, aspect is part of a verb’s meaning and even available in machine-readable dictionaries. Our contributions are as follows. We successfully leverage additional silver standard training data in the form of projected annotations from parallel English-Czech data as well as context information, improving automatic telicity classification for English significantly compared to previous work. We also create a new data set of English texts manually annotated with telicity.