W06-1710 - ror . Further , we perform a binary categorization for each of the 16 categories
M91-1035 generating the templates from the binary categorization . Since the categorizer output
W13-4049 < 2.5 average ) . With this binary categorization , 44.8 % of the time tutor responses
P14-2118 create a distinct but analogous binary categorization problem to the composition task
W11-1516 success rate of 62.5 % in its binary categorization of collaborations . 5.3.2 First
W15-0616 revisions using Faigley and Witte 's binary categorization , only the number of textbased
H92-1041 used in our experiments . 3.1 . Binary Categorization In order to compare text categorization
W98-1508 , it is possible to consider a binary categorization problem where a decision is made
W98-1108 , it is possible to consider a binary categorization problem where a decision is made
M91-1035 generated a template file from the binary categorization and evaluated the resulting categorization
M91-1035 use to generate templates from a binary categorization . Many of the slot filling tasks
W10-3021 Although the problem itself is a binary categorization problem , we approach the problem
P15-1144 Newsgroup Dataset . We consider three binary categorization tasks from the 20 Newsgroups
M91-1035 roughly 50/50 when evaluated under a binary categorization model and around 35/35 under
W01-0508 documents . Reuters-21578 is a binary categorization corpus , meaning that documents
P14-1145 to measure ( than the coarser binary categorization of polarities ) , our connotation
M91-1035 categorizer , and the correct binary categorization decisions extracted fro m the
M91-1035 Since the categorizer output only binary categorization decisions , cross references
W01-0508 accuracy ( or overall er - ror ) for binary categorization , since most documents have few
C04-1195 Perhaps what is needed then is not a binary categorization but a continuous one , a numeric
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