learning algorithm 0.0020562230000000003
feature function 0.001985963
parsing algorithm 0.001801616
feature set 0.001796222
training set 0.001648063
perceptron algorithm 0.001639532
feature vector 0.001634371
incremental algorithm 0.0015337740000000001
same feature 0.001527896
nivre algorithm 0.001526201
relaxed algorithm 0.001526201
searn algorithm 0.001526201
large training 0.001464177
training algorithms 0.0014003420000000002
dependency tree 0.001389323
feature weights 0.0013353430000000001
feature vectors 0.001331601
feature representation 0.001327353
dependency parsing 0.001303078
similar model 0.001301936
algorithm 0.00129571
learning models 0.001285736
cost function 0.001277522
logistic model 0.001273629
numeric feature 0.0012715860000000001
learning algorithms 0.001267684
input training 0.001253556
learning methods 0.0012512959999999998
training sets 0.001241028
test set 0.001234391
first method 0.00122411
map model 0.00121543
global model 0.00121105
other classification 0.001208534
first case 0.001208335
other algorithms 0.0011857780000000002
learning problem 0.00118334
discriminant function 0.001176969
inant function 0.0011750719999999999
spv model 0.001172722
online learning 0.001147005
machine learning 0.001137074
line learning 0.001133334
dependency graph 0.001132695
labeled dependency 0.001131653
dependency trees 0.001131268
weight vector 0.00110515
learning research 0.00110285
classification results 0.001091091
second approach 0.001068283
learning framework 0.001067925
method test 0.001062029
classification performance 0.00105743
classification error 0.001050825
feature 0.00104133
projective dependency 0.001037704
incremental dependency 0.001035236
dependency links 0.0010280369999999999
dependency relations 0.0010280369999999999
general form 0.001023595
classification methods 0.00102071
exact search 0.00101194
batch learning 0.001004183
test error 0.001000397
cost approach 9.99871E-4
regularization parameter 9.972219999999999E-4
learning community 9.96128E-4
learning paradigm 9.91225E-4
following form 9.89439E-4
second method 9.838310000000001E-4
second case 9.680559999999999E-4
tradeoff parameter 9.61004E-4
data sets 9.554589999999999E-4
classification problem 9.527540000000001E-4
function 9.44633E-4
variance approach 9.38934E-4
parse tree 9.25491E-4
parser state 9.23883E-4
good classification 9.19965E-4
method labeled 9.170110000000001E-4
other hand 9.12529E-4
posteriori approach 9.06061E-4
logistic models 9.028020000000001E-4
tion task 9.01415E-4
model 8.9605E-4
first experiment 8.95081E-4
large values 8.94695E-4
online algorithms 8.93663E-4
training 8.93171E-4
logistic algorithms 8.847500000000001E-4
tree prediction 8.82821E-4
online methods 8.77275E-4
large space 8.74674E-4
possible output 8.718129999999999E-4
algorithms input 8.67556E-4
spv method 8.592020000000001E-4
beam search 8.56474E-4
multiclass classification 8.558400000000001E-4
shared task 8.49205E-4
global performance 8.425030000000001E-4
