时间关系普遍存在于时间和事件概念之间,为信息组织提供了一条天然的线索。该文在信息抽取和时间信息标注的基础上,研究汉语中时间与时间、事件与时间和事件与事件之间的时间关系。一方面考虑汉语文本的特点,充分抽取蕴含于语法语义层面中的时间关系;另一方面定义了与文本无关的规则,实现了不同来源信息之间的时间关系的计算。这为信息抽取结果的组织、积累和共享打下了基础,对于事件追踪、多文本摘要等方面的研究也有一定的借鉴意义。
Abstract
Temporal relation is inherited in most time and event concepts as an evident natural clue for information organization. This paper studies temporal relations between time and time, event and time as well as event and event in Chinese on the base of information extraction and temporal annotation. Temporal relations in Chinese texts are extracted with the help of syntactic and semantic knowledge. And context-dependent rules are defined to compute temporal relations between information from different texts. This study contributes to organize, accumulate and share results by information extraction. It is also be useful in some advanced NLP tasks, such as event tracing and multi-text summarization.
Key words computer application; Chinese information processing; temporal relation extraction; temporal relation computation; information organization
关键词
计算机应用 /
中文信息处理 /
时间关系抽取 /
时间关系计算 /
信息组织
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Key words
computer application /
Chinese information processing /
temporal relation extraction /
temporal relation computation /
information organization
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参考文献
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脚注
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基金
国家自然科学基金资助项目(60573186)
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