For the development of these lists we used a collection of texts of about 300,000 words derived from the New York Times ( NYT ) corpus that was supplied as training data for the 7th Message Understanding Conference ( MUC-7 ) ( Chinchor 1998 ) .
overview of muc7”
Nancy Chinchor
These four lists can be acquired completely automatically from raw ( unlabeled ) texts . For the development of these lists we used a collection of texts of about 300,000 words derived from the New York Times ( NYT ) corpus that was supplied as training data for the 7th Message Understanding Conference ( MUC-7 ) ( Chinchor 1998 ) . We used these texts because the approach described in this article was initially designed to be part of a named-entity recognition system ( Mikheev , Grover , and Moens 1998 ) developed for MUC-7 .
For the development of these lists we used a collection of texts of about 300,000 words derived from the New York Times ( NYT ) corpus that was supplied as training data for the 7th Message Understanding Conference ( MUC-7 ) ( @@CITATION ) .