Table 2 Parameters of semi-supervised module
From: Chinese medical entity recognition based on the dual-branch TENER model
Parameters | Significations |
|---|---|
\(L={(x_i,y_i)}\) | A label set |
\(x_i\) | The labeled sample, \(x_i \in R^d\) |
\(R^d\) | The d-dimensional real number set |
\(y_i\) | The true label, \(y_i\in \{{w_1,w_2,...w_s}\}\) |
s | The number of different labels |
U | Unlabeled set |
\(U=\{{x_1,x_2,...x_m}\}\) | m is the number of unlabeleds |
| Â | amples, \(m>n\) |