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\[h_{i}^{head} = FNN^{head}(r_i)\] \[h_{i}^{dep} = FNN^{dep}(r_i)\] \[s_{i,j} = Biaff(h_i^{head}, h_j^{dep})\] \[Biaff(x_1, x_2) = x_1^T U x_2 + W(x_1 \oplus x_2) + b\] \[ArcScore :: Biaff(x_1, x_2) \rightarrow p^{|toks|}\] \[LabelScore :: Biaff(x1, x2), pred \rightarrow p^{|labels|}\] References Applying Occam’s Razor to Transformer-Based Dependency Parsing: What Works, What Doesn’t, and What is…
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