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< ei, ej >
r
Sij = {sij1, ..., sijk}
< ei, ej >
r
Sij = {sij1, ..., sijk}
< ei, ej >
r
Sij = {sij1, ..., sijk}
r
density(s) =
1
K · (K + 1)
nX
j=1
idf(tj) · idf(tj+1)
distance(tj, tj+1)2
score(l, ei, ej) = sim(l, ei) · sim(l, ej)
ei ej
ei ej
ei ej
ei ej l
distance(vi, Vr) = cos(vi,
X
vj 2Vr
vj)
Rc(s, q) = (1 µ)R(s, q) + µ[Rc(sprev(s), q) + Rc(Snext(s), q)]
R(s, q) =
X
t2q
log(tft,q + 1) · log(tft,s + 1) · log(
n + 1
0.5 + sft
)




Learning to explain entity relationships in knowledge graphs

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Learning to explain entity relationships in knowledge graphs