  Business Process Management (BPM) is the discipline which is responsible for
management of discovering, analyzing, redesigning, monitoring, and controlling
business processes. One of the most crucial tasks of BPM is discovering and
modelling business processes from text documents. In this paper, we present our
system that resolves an end-to-end problem consisting of 1) recognizing
conditional sentences from technical documents, 2) finding boundaries to
extract conditional and resultant clauses from each conditional sentence, and
3) categorizing resultant clause as Action or Consequence which later helps to
generate new steps in our business process model automatically. We created a
new dataset and three models solve this problem. Our best model achieved very
promising results of 83.82, 87.84, and 85.75 for Precision, Recall, and F1,
respectively, for extracting Condition, Action, and Consequence clauses using
Exact Match metric.
