事件抽取是目前信息抽取研究领域的一个新的重要的研究课题。
Event Extraction is a new research point in the area of Information Extraction.
当事件处理器发现price - quote元素时，它从属性列表中抽取供应商名称和价格。
When it finds a price-quote element, the event handler extracts the vendor name and the price from the list of attributes.
信息抽取是指从自然语言文本中识别特定类型的事件或关系的信息，并将这些信息格式化输出。
Information Extraction (ie) is the process of identifying specified types of events or relations in natural language texts, and recording this information in a structured form.
在目前信息爆炸的时代，基于事件框架的新闻信息抽取技术能够更好地满足人们获知网上有效信息的需要。
In todays information explosion age, the technology of events 'information extraction, which is based on event frame, can better satisfy the need of getting valid information from Internet.
方法抽取2001 ~ 2008年共80 000张急诊处方，对317例造成患者不满和可能导致其伤害的事件进行分析。
Methods We analyzed 317 cases of events from 80 000 prescriptions which led to dissatisfaction among patients and caused harm to them from 2001 to 2008.
HTA模型被用来围绕医师抽取一个病人血样的事件组合故事，来支撑典型场景的基于目标的结构。
The HTA model was used to compose the story around the event of a phlebotomist drawing a patient's blood that supports the goal-based structure of the scenario.
该方法的基本思想是：首先，抽取新闻要素中关于事件发生的时间和地点短语；
This method basic thought is: First, extracts the time and the place phrase which in the news essential factor the event occurs;
本文针对特定的事件信息抽取任务，提出了一个无监督的互联网事件信息抽取框架，从互联网众多的事件源网站中抽取各种热门事件。
For a specific event extraction task, this paper provides a unsupervised web event extraction framework and the framework can extract all kinds of hot events from many source websites.
同时针对单文档以及稀疏文档集，本文实现了基于事件框架的实体关系抽取，以抽取用户指定的特殊实体关系。
Meanwhile, to analyzing sparse dataset, we implement the relation extract method based on event frame to extract the special relations which users set.
方法：随机抽取某大学医学生314人，采用精神症状自评量表（SCL 90 ）、艾森克个性问卷（EPQ）、生活事件调查表（LES）以及一般情况调查表，调查分析医学大学生的心理健康状况及其影响因素。
Methods: Mental health and its influential factors of 314 students from a certain medical college chose by random sample were investigated with SCL-90, EPQ, LES, and common condition questionnaire.
方法：随机抽取某大学医学生314人，采用精神症状自评量表（SCL 90 ）、艾森克个性问卷（EPQ）、生活事件调查表（LES）以及一般情况调查表，调查分析医学大学生的心理健康状况及其影响因素。
Methods: Mental health and its influential factors of 314 students from a certain medical college chose by random sample were investigated with SCL-90, EPQ, LES, and common condition questionnaire.
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