composition model 0.002232808
other model 0.00211632
vector composition 0.002106498
regression model 0.00202793
vector space 0.001995859
semantic representations 0.00194795
vector pairs 0.00192011
semantic space 0.0019124189999999998
noun vector 0.0019031820000000002
current model 0.001900615
additive model 0.001848635
multiplicative model 0.001839051
adjective vector 0.0018304270000000001
mapping model 0.001786596
model combinations 0.0017786759999999999
such vectors 0.001774681
own model 0.001757308
model implementation 0.001753655
hierarchical model 0.001740424
singular vector 0.001725006
tiplicative model 0.001723413
average vector 0.001718037
column vector 0.001670828
different composition 0.001656952
vector construction 0.001655513
composite vector 0.001650395
vector con 0.0016479810000000002
output vector 0.001638083
composition models 0.001627524
vector cosines 0.0016126950000000001
semantic properties 0.001597247
space vectors 0.0015529810000000002
semantic surrogate 0.001530881
model 0.00151578
linear models 0.001498486
noun vectors 0.001460304
other words 0.001448946
different adjectives 0.0014167469999999999
word order 0.001416647
compositional models 0.001398308
vector 0.00138947
adjective vectors 0.001387549
function words 0.001361695
distributional representations 0.001326739
specific vectors 0.001310778
context vectors 0.001308429
different constructions 0.001288008
singular vectors 0.001282128
tic vectors 0.0012658629999999999
input vectors 0.001260729
additive models 0.001243351
multiplicative models 0.001233767
composition function 0.0012303169999999999
weight matrix 0.001209219
profile vectors 0.001207656
row vectors 0.001192002
single words 0.001185691
adjective matrix 0.00118026
tive models 0.0011790379999999999
occurrence vectors 0.001178849
separate models 0.001173002
nominal vectors 0.001170734
different authority 0.0011697209999999999
composition process 0.001168472
alternative models 0.001165319
different partner 0.00115874
different today 0.001158613
centroid vectors 0.00115493
different signs 0.001148373
different regressions 0.001148373
distributional semantics 0.001138111
content words 0.0011341020000000001
noun space 0.001120101
green matrix 0.001117435
linear function 0.0011012790000000001
linear regression 0.0011001399999999999
standard similarity 0.00109551
adjective representations 0.001082877
same adjective 0.001077923
training data 0.001057208
quire words 0.001057002
composition form 0.001052854
additive composition 0.001049883
ambiguous word 0.001049116
new method 0.001047239
weight tensor 0.001042663
such challenges 0.001036814
modeling composition 0.001027664
order information 0.0010235119999999999
word cluster 0.001022208
cosine similarity 0.001021713
other approaches 0.0010154370000000001
similarity measure 0.001007247
space tasks 0.001004311
common approach 9.99198E-4
syntactic constructions 9.98848E-4
purity matrix 9.97898E-4
matrix con 9.97814E-4
noun meaning 9.97564E-4
gression matrix 9.918029999999999E-4
