W06-2601 real-valued features always applies the leave-one-out method . For the NER task , model FinBin
S07-1031 Mascara data ( tested with the leave-one-out method ) , performance is considerably
D15-1209 Kneser-Ney smoothing into the proposed leave-one-out method in the future work . The BLEU
N13-1048 set . Second , we do not use the leave-one-out method to generate the N-best lists
P06-1049 actually identical . We applied the leave-one-out method to the proposed method to produce
J11-1004 - speaker-out . In the general leave-one-out method , each data point is tested with
W06-2601 in perfor - mance . • The leave-one-out method is significantly more effective
D15-1209 explanation might be that the leave-one-out method punishes rare words more than
D15-1209 various levels of rare words . The leave-one-out method outperformed related methods
P07-2030 Then , using ing model ( by the leave-one-out method , predicting ple 's rankings
D15-1209 aligned . In other words , the leave-one-out method would align rare words unless
W06-2601 - ered : the Held-out and the Leave-one-out methods ( Manning and Schutze , 1999
W01-0705 promising . Recall that since the leave-one-out method yields the result of classifying
W09-3307 test user profile , we used the leave-one-out method for tags -- we removed a target
N01-1025 Cross validation and VC-bound and Leave-One-Out methods than the baseline method . By
D09-1140 email threads ) , we employ a leave-one-out method for training and testing rather
N04-1018 development data by utilizing the leave-one-out method . Lexical features consisted
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