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Number Type Recognition of Chinese Personal Noun Phrase
中文人称名词短语单复数自动识别

Keywords: Personal noun phrase,number type,machine learning
人称名词短语
,单复数,机器学习

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Abstract:

Number type is absolutely a necessary feature for co-reference resolution.Different from English,Chinese, belonging to Sino-Tibetan language family,cannot reflect number information directly by nouns themselves.However,the problem can be tackled by virtue of noun phrase.This paper presents two methods of number type recognition of Chinese personal noun phrase and their tests on ACE 2005 corpus.The first one is rule-based,which defines the template rules based on some knowledge resources,employing some slots and slot values.The other one is machine learning method,with maximum entropy model on features of word,pos,word sense,and quantitative relation.The two methods reached total accuracies of 48.24% and 87.48%,respectively.Experimental results showed that the rule based method could ensure the precision but the recall,while the machine learning method managed the number type recognition task.

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