W10-4161 focus on how to apply CRFs in our person name recognition task . 3.1 CRFs-based name recognition
W10-4154 whole task into two subtasks : 1 . Person name recognition . It includes : 1.1 Distinguish
W02-1817 surnames or titles often trigger person name recognition on the following 2 or more characters
W06-0123 , to keep the high accuracy of person name recognition , the features about organization
W10-4161 used in each document . Then , person name recognition is processing . The training
W03-1509 in the surname list can trigger person name recognition . A list of person title list
W06-0130 post-processing improved the performance of person name recognition , but it degraded the performance
W02-1817 avoid apparent mistakes . As to person name recognition , there are several strict restrictions
W07-0803 developed a tool for multilingual person name recognition that focuses on the " Who " part
W10-4161 names caused by sparse data . 3 Person Name Recognition In this section , we focus on
W10-4161 present , the main technology of person name recognition is used statistical models ,
W03-1509 is the human knowledge used for person name recognition and the method of how to incorporate
I05-3028 context . We defined 17 roles for person name recognition and 10 roles for location name
W02-1817 The precision rate of Chinese person names recognition can achieve over 95 % after POS
W10-4161 corpus . 5.1 Preprocessing and Person Name Recognition Firstly , a word segmentation
W06-0110 statistical models for Chinese person names recognition and Chinese location names recognition
W06-0123 features to improve the accuracy of person name recognition , which are CNn ( n = -2 , -1,0,1,2
P98-1036 BBN ( Weischedel , 1995 ) on the person name recognition portion have very high recall
W03-1718 of 68.02 % for single character person name recognition . An alternative view of the
C04-1066 91.65 % recall for the Chinese person names recognition in the People 's Daily . Goh
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