W05-1303 resolution algorithm . Surprisingly , variant generation made the smallest difference
W05-1303 perform worse than our full system . Variant generation made the smallest difference
W05-1303 small improvement gained from variant generation suggests that computationally
W12-2408 normalization based on Lexical Variant Generation ( LVG ) 3 . The output of this
H92-1040 1984 . " Automatic search term variant generation . " Journal of Documentation
A00-1038 potential problem with using robust variant generation as a means to automatically build
W05-1303 abstract . It is possible that variant generation might have made a larger difference
P84-1060 is preserved to use for output variant generation ( which may of course include
W11-1507 processed for normalisation and variant generation purposes . In this process ,
W11-0218 resources by applying the GO term variant generation technique described by Beisswanger
P05-2009 using MMTx , which uses lexical variant generation to map noun phrases to candidate
D08-1041 proposed two approaches for spelling variants generation , based on the letters-to-phonemes
W11-1507 tions , questions , lists , etc. . Variant generation involves detecting the acronyms
P11-2054 normalizer based on the LVG ( Lexical Variants Generation ) ( LVG , 2010 ) annotator from
P06-1116 and Lee , 2002 ) and syntactic variant generation ( Jacquemin et al. , 1997 ) ,
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