For instance , Palmer and Hearst ( 1997 ) report that the SATZ system ( decision tree variant ) was trained on a set of about 800 labeled periods , which corresponds to a corpus of about 16,000 words .
adaptive multilingual sentence boundary disambiguation
David D Palmer Marti A Hearst
Although some SBD systems can be trained on relatively small sets of labeled examples , their performance in such cases is somewhat lower than their optimal performance . For instance , Palmer and Hearst ( 1997 ) report that the SATZ system ( decision tree variant ) was trained on a set of about 800 labeled periods , which corresponds to a corpus of about 16,000 words . This is a relatively small training set that can be manually marked in a few hours ' time .
For instance , @@CITATION report that the SATZ system ( decision tree variant ) was trained on a set of about 800 labeled periods , which corresponds to a corpus of about 16,000 words .