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利用句型模板构造抽取规则,然后直接从经过时
间短语和空间短语识别和规范化处理的文本中抽取事件信息,从而跳过了深层句法分析,降低了实现系统的
难度 (2) 利用事件的规范化的时空信息关联不同文档中的同一事件,进行事件合并 (3) 文档发生事件转移时
对文档进行事件切分,从而解决了文档内不同事件信息的归并问题。-Extraction rules using sentence patterns, and then directly from the space of time phrases and phrases to identify and deal with the text of the standardized extract event information, thereby skipping parsing, reducing the difficulty of achieving the system (2) the use of standardized event spatial and temporal information associated with the same events in different documents, an event is merged (3) when the event appears on the document event segmentation to solve the document within the information merged into different events.
间短语和空间短语识别和规范化处理的文本中抽取事件信息,从而跳过了深层句法分析,降低了实现系统的
难度 (2) 利用事件的规范化的时空信息关联不同文档中的同一事件,进行事件合并 (3) 文档发生事件转移时
对文档进行事件切分,从而解决了文档内不同事件信息的归并问题。-Extraction rules using sentence patterns, and then directly from the space of time phrases and phrases to identify and deal with the text of the standardized extract event information, thereby skipping parsing, reducing the difficulty of achieving the system (2) the use of standardized event spatial and temporal information associated with the same events in different documents, an event is merged (3) when the event appears on the document event segmentation to solve the document within the information merged into different events.
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