...本文依据"潜在歧义理论(Potential Ambiguity theory)"、通过挖掘"有"的上下文句法语义特征,使用复杂特征集(complex features set)描述其上下文……
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set of complex features 复杂特征集
A representation learning algorithm can discover a good set of features for a simple task in minutes, or a complex task in hours to months.
一个表达学习算法可以再几分钟内为一个简单的任务学习一个很好的特征集合,对于复杂的任务,时间可能是几个小时到几个月。
Complex features can be activated or de-activated by means of pre-set feature sets or manually.
复杂的功能可以被激活或通过预置功能集或手动方式取消。
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