| P04-3017 | correct analysis is larger on | PAS method | . POS pattern method extracted |
| P04-3017 | the future works is to extend | PAS method | to handle events in nominalized |
| P04-3017 | whereas we considered them for | PAS method | . Thus decision on correctness |
| P04-3017 | . In this paper , we evaluated | PAS method | by comparing it to a method using |
| P04-3017 | on correctness is stricter for | PAS method | . Results The manual investigation |
| P04-3017 | Implementation of PAS method We implemented | PAS method | on LiLFeS , a unification-based |
| P04-3017 | and their arguments extracted by | PAS method | and POS pattern matching , which |
| P04-3017 | VAs of verbs not extracted by | PAS method | and 7 of them are cor - rect |
| P04-3017 | 7 of them are cor - rect . For | PAS method | , correspondent numbers are 11 |
| P04-3017 | POS pattern method but not by | PAS method | , we expect the number of such |
| P04-3017 | matcher . 4.1 Implementation of | PAS method | We implemented PAS method on |
| P04-3017 | obtained . The shortcoming of | PAS method | is expected to be reduced by |
| P04-3017 | incorrect , extracted by only | PAS method | . Bold words are extracted verbs |
| P04-3017 | concluded that the precision of | PAS method | is higher . Although there are |
