category relationships from the weak supervision : the tag dictionary and raw corpus ( Garrette and Baldridge , 2012 ; Garrette et al. , 2015 ) .4 This procedure attempts to automatically estimate the frequency of each word/tag combination by dividing the number of raw-corpus occurrences of each word in the dictionary evenly across all of its associated tags .
typesupervised hidden markov models for partofspeech tagging with incomplete tag dictionaries
Dan Garrette Jason Baldridge
We employ the same procedure as our previous work for setting the terminal production prior dis - category relationships from the weak supervision : the tag dictionary and raw corpus ( Garrette and Baldridge , 2012 ; Garrette et al. , 2015 ) .4 This procedure attempts to automatically estimate the frequency of each word/tag combination by dividing the number of raw-corpus occurrences of each word in the dictionary evenly across all of its associated tags . These counts are then combined with estimates of the `` openness '' of each tag in order to assess its likelihood of appearing with new words .
category relationships from the weak supervision : the tag dictionary and raw corpus ( @@CITATION ; Garrette et al. , 2015 ) .4 This procedure attempts to automatically estimate the frequency of each word/tag combination by dividing the number of raw-corpus occurrences of each word in the dictionary evenly across all of its associated tags .