C04-1007 performance is better than any of the automatic methods . To investigate the contribution
A00-2020 distribution , we want to construct an automatic method for detecting anomalies . We
C04-1176 solve the problem , we propose an automatic method to construct Japanese KATAKANA
C04-1093 Abstract We are developing an automatic method to compile an encyclopedic corpus
A00-2020 Conclusion This paper presents a fully automatic method for detecting errors in corpora
C96-1005 for this purpose . This fully automatic method requires no hand coding of lexical
C02-1057 evaluated both manually and with our automatic method . Consistency between the two
A94-1016 intervention . It is well known that such automatic methods are at the moment less than perfect
C04-1018 evaluate the performance of an automatic method of determining the hierarchical
C04-1093 Ishikawa ( 2000 ) proposed an automatic method to extract term descriptions
C02-1057 test the consistency between the automatic method and human evaluation . To avoid
C02-1057 time consuming and inconsistent , automatic methods are broadly studied and implemented
A88-1020 appropriate sense . We have tried two automatic methods of sense marking ( i.e. sense
A00-3005 , it must be examined whether automatic methods reach the high precision and
A00-1039 with ( Riloff , 1993 ) , seeks automatic methods for filling slots in event templates
C04-1150 specialists of a given domain . Can an automatic method simulate this process ? Can we
A00-2020 Although this paper presents a fully automatic method for error detection in cor -
C92-1056 other researchers , and the fully automatic method requires no hand-coding of lexical
C04-1150 our objective was to define an automatic method for semantic relation extraction
A88-1014 are convinced that easy-to-apply automatic methods can help solve this problem (
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