Research Article
Distant Supervision with Transductive Learning for Adverse Drug Reaction Identification from Electronic Medical Records
Algorithm 2
Pseudocode for our proposed EM with BN-dependent representation (dEM).
Input: | = the number of labels | = the maximum number of iteration | | | | Output: parameter | 1 | 2 ; | 3 repeat | 4 for to n do | 5 E–Step: | Estimate model probability: (21) | M–Step: | Update class-conditional probability: (22) | (23) | (24) | Update class probability: (25) | 6 | 7 until convergence or |
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