DSReg: Using Distant Supervision as a Regularizer
Table 4: Performances of different models on the sequence labeling task on the Financial Statement Dataset.
['[BOLD] Bi-LSTM + CRF Model', 'P', 'R', 'F']
We used the keyword matching strategy to retrieve hard-negative examples. The three-class classification model (L3) Pos|HardNeg|EasyNeg and the pipelined model Pos∪HardNeg|EasyNeg → Pos|HardNeg significantly underperform the others, and their results are omitted due to space limitations.