same word 0.003430829
word sense 0.00336372
word similarity 0.003322124
similar word 0.003320844
word features 0.003269881
unknown word 0.0032251380000000002
word san 0.003216147
certain word 0.003173961
word tezgiiino 0.003171378
word acquisition 0.003162172
word similarities 0.003126531
similar words 0.0017373640000000001
ilar words 0.001544198
same corpus 0.001449469
words 0.00131728
mercury corpus 0.001166957
particular corpus 0.001161247
put corpus 0.001149614
parsed corpus 0.00114648
data items 0.001091692
language learning 0.001078865
probability distribution 0.001065824
mutual information 0.001048052
ing method 0.00104221
different measures 0.001025274
new evaluation 0.00102455
natural language 0.001019164
first step 0.001012094
different senses 0.001012071
data sparseness 0.001005881
similarity tree 0.0010055490000000001
tree structure 9.99722E-4
text corpora 9.6742E-4
luat ion 9.589029999999999E-4
information con 9.37762E-4
different subtrees 9.332920000000001E-4
different hesauri 9.332920000000001E-4
regulat ion 9.208759999999999E-4
corpus 9.194E-4
conclus ion 9.182279999999999E-4
isdict ion 9.182279999999999E-4
operat ion 9.182279999999999E-4
other similarity 9.17807E-4
amount information 9.099889999999999E-4
language process 9.086859999999999E-4
input sentence 8.89554E-4
frequency count 8.828709999999999E-4
text cor 8.808099999999999E-4
new eval 8.71934E-4
tree selection 8.65831E-4
evaluation results 8.63193E-4
initial step 8.581330000000001E-4
dependency relationships 8.46521E-4
first number 8.4336E-4
similarity measure 8.393630000000001E-4
same roget 8.27852E-4
maximum likelihood 8.15788E-4
frequency counts 8.15323E-4
vidual frequency 7.85714E-4
average similarity 7.77682E-4
same state 7.75688E-4
same format 7.66088E-4
log iiw 7.51933E-4
many usages 7.51044E-4
likelihood estimation 7.474059999999999E-4
similarity measures 7.4145E-4
previous methods 7.39478E-4
many advan 7.37671E-4
unique dependency 7.36627E-4
sample results 7.35842E-4
other types 7.320479999999999E-4
other thesauri 7.24017E-4
dependency triples 7.22939E-4
following format 7.16536E-4
log pmle 7.09168E-4
many possibilities 7.049599999999999E-4
many approaches 7.02067E-4
next section 6.94112E-4
anguage learning 6.92799E-4
sense disambigua 6.91288E-4
brown dog 6.885190000000001E-4
similarity mea 6.864390000000001E-4
root node 6.82498E-4
lected dependency 6.75951E-4
information 6.73682E-4
second number 6.64195E-4
related work 6.583299999999999E-4
future work 6.57852E-4
ilarity measure 6.564E-4
roget average 6.54101E-4
previous experi 6.527869999999999E-4
previous ection 6.527869999999999E-4
measure simroget 6.48797E-4
measure simwn 6.480909999999999E-4
wise similarity 6.4725E-4
larity measure 6.469550000000001E-4
evaluation methodology 6.463860000000001E-4
measure simhinate 6.46084E-4
average wordnet 6.44377E-4
reliable extraction 6.43502E-4
