W14-4705 along with preprocessing steps ( database generation ) . 2 . The kind of distributional
H92-1095 the extracted information for database generation . This approach is described
H90-1092 evaluated on performance on the database generation task in a blind test . Measures
P06-2035 paper deals with multilingual database generation from parallel corpora . The idea
C96-2190 plications in text understanding , database generation fi'om text and computer-based
P06-2035 . <title> Multilingual Lexical Database Generation from parallel texts in 20 European
P05-1061 question answer - ing , automatic database generation , and intelligent document searching
H90-1070 applying the system to much broader database generation projects than those of SCISOR
H90-1070 engineering required , although current database generation tasks are still too small for
H90-1070 to semantic interpretation and database generation . In database generation , the
W13-4309 tremendous relevance in lexical database generation , morphological processing ,
H90-1070 interpretation and database generation . In database generation , the new knowledge base has
J92-1001 including information re - trieval , database generation from text , and machine translation
M93-1012 include information extraction and database generation tasks suc h as MUC-5 , message
W13-4309 relevance in cross-lingual lexical database generation , morphological processing ,
C90-3077 same capabilities , including database generation , question answering , and automatic
H90-1070 processing-including information retrieval , database generation , and machine translation --
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