word features 0.001885173
learning algorithm 0.0017614059999999999
word input 0.0016721610000000001
input word 0.0016721610000000001
feature representation 0.001471081
training set 0.001463637
tag set 0.0014465860000000001
context features 0.001429333
word level 0.001405369
feature repre 0.001354852
classification model 0.001344957
word sense 0.001338487
test features 0.001334654
word graphs 0.001320145
algorithm 0.0012781
classifier model 0.001272427
rule sets 0.0012481459999999999
bayes rule 0.001236865
dependency rule 0.0012354129999999999
markov model 0.0012151879999999999
weighted context 0.0012094039999999999
same input 0.00118513
possible tag 0.0011643040000000001
data structure 0.0011562270000000001
level features 0.001144782
training corpus 0.001128118
test input 0.001121642
positive rules 0.001108806
feature 0.00110286
set accuracy 0.001093372
model equation 0.0010663349999999999
efficient data 0.001065599
training process 0.001047048
training exam 0.001041283
left context 0.001030865
random set 0.001030394
tag sequence 0.0010292349999999999
dependency rules 0.001016583
many problems 0.001012799
right context 9.99963E-4
input text 9.95967E-4
tag sequences 9.824410000000001E-4
likely tag 9.819849999999999E-4
leaf node 9.64765E-4
regular expressions 9.596069999999999E-4
classification problems 9.40103E-4
text classification 9.26334E-4
natural language 9.090140000000001E-4
loss function 9.01303E-4
learner weighted 8.97238E-4
input sequence 8.93618E-4
many exam 8.916779999999999E-4
weak learner 8.79393E-4
learner weak 8.79393E-4
context dependency 8.77863E-4
language processing 8.76309E-4
first step 8.753840000000001E-4
weak learners 8.735419999999999E-4
logistic function 8.712609999999999E-4
tion approach 8.71099E-4
many aspects 8.68373E-4
markov models 8.67644E-4
ambiguous input 8.65029E-4
level classification 8.62137E-4
classification techniques 8.61865E-4
same point 8.610520000000001E-4
context sym 8.59839E-4
decision trees 8.48832E-4
input lattice 8.480989999999999E-4
lattice input 8.480989999999999E-4
input vocabulary 8.475360000000001E-4
many attempts 8.46993E-4
final classifier 8.418480000000001E-4
weighted lattice 8.41182E-4
biguous input 8.41101E-4
input vocab 8.41101E-4
classification result 8.38112E-4
classification approaches 8.345989999999999E-4
weighted solutions 8.33866E-4
machine learning 8.306730000000001E-4
alternate approach 8.292519999999999E-4
sequence classification 8.23985E-4
classification applications 8.23553E-4
learners test 8.213840000000001E-4
particular classifier 8.19808E-4
model 8.15309E-4
features 8.12293E-4
classification tasks 8.11118E-4
hmm approach 8.10843E-4
prediction error 8.0264E-4
general form 7.82606E-4
real number 7.80774E-4
state models 7.74366E-4
conclusions classification 7.725449999999999E-4
semantic classification 7.71242E-4
search problems 7.657930000000001E-4
rules 7.5576E-4
error loss 7.53352E-4
training 7.51949E-4
possible recognition 7.405000000000001E-4
