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docs/annotations/srl/cpb.md

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Chinese Proposition Bank

标签角色例子
中心角色ARG0施事者(ARG0中国政府)提供援助
ARG1受事者中国政府提供(ARG1援助)
ARG2依谓词而定失业率控制(ARG2在百分之十内)
ARG3依谓词而定(ARG3从城市)扩大到农村
ARG4依谓词而定提高(ARG4百分之二十)
附属角色ARGM-ADV状语(ARGM-ADV共同)承担
ARGM-BNF受益者(ARGM-BNF为其他国家)进行融资
ARGM-CND条件(ARGM-CND如果成功),他就留下
ARGM-DIR方向(ARGM-DIR向和平)迈出一大步
ARGM-EXT范围在北京逗留(ARGM-EXT两天)
ARGM-FRQ频率每半年执行(ARGM-FRQ一次)
ARGM-LOC地点、位置(ARGM-LOC在机场)被捕获
ARGM-MNR方式(ARGM-MNR以中英文)发行
ARGM-PRP目的或原因(ARGM-PRP由于危机)而破产
ARGM-TMP时间公司(ARGM-TMP去年)成立
ARGM-TPC主题(ARGM-TPC稳定政策),核心是...
ARGM-DIS话语标记(ARGM-DIS因此),他感到不公
ARGM-CRD并列论元(ARGM-CRD与台湾)非正式接触
ARGM-PRD次谓词指控廉政公署五人(ARGM-PRD接受贿赂)
{note}
Although ARG0 and ARG1 share general definitions across all predicates, word sense disambiguation is required to find 
the coresponding definition of semantic roles. Given the word sense of `变化`, say `变化-2`, 
[its second frameset](http://verbs.colorado.edu/chinese/cpb/html_frames/0183-bian-hua.html) can 
be found which defines the following 2 arguments:

1.    ARG0: agent/cause
2.    ARG1: entity arg0 changes

These definitions are different from that of frameset `变化-1`:

1.    ARG0: entity undergoing change
   
Sometimes, the number of arguments and definitions can vary a lot across framesets. 
In summary, word sense disambiguation is essential if SRL is to be used to best effect in practical applications