Sarkar and Zeman ( 2000 ) evaluate 914 Czech verbs against a custom-made gold standard and record a token recall of 88 % .
automatic extraction of subcategorization frames for czech
Anoop Sarkar Daniel Zeman
Still , to date this is the largest number of verbs used in any of the evaluations of the systems for English described in Section 3 . Sarkar and Zeman ( 2000 ) evaluate 914 Czech verbs against a custom-made gold standard and record a token recall of 88 % . However , their evaluation does not examine the extracted subcategorization frames but rather the argument -- adjunct distinctions posited by their system .
@@CITATION evaluate 914 Czech verbs against a custom-made gold standard and record a token recall of 88 % .