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Table 2 Neural embedding scoring and loss functions

From: Semantic embeddings of generic objects for zero-shot learning

Model

ψ(es,rp,eo)

\(\mathcal {L}\)

TransE [26]

∥es+rp−eo∥

L 2

DistMult [25]

〈es,rp,eo〉

Ranking

ConvE [27]

f(vec(f([es;rp]∗w))W)eo

BCE

TransE∗

〈es+rp,eo〉

Triplet