  Automation services for complex business processes usually require a high
level of information technology literacy. There is a strong demand for a
smartly assisted process automation (IPA: intelligent process automation)
service that enables even general users to easily use advanced automation. A
natural language interface for such automation is expected as an elemental
technology for the IPA realization. The workflow targeted by IPA is generally
composed of a combination of multiple tasks. However, semantic parsing, one of
the natural language processing methods, for such complex workflows has not yet
been fully studied. The reasons are that (1) the formal expression and grammar
of the workflow required for semantic analysis have not been sufficiently
examined and (2) the dataset of the workflow formal expression with its
corresponding natural language description required for learning workflow
semantics did not exist. This paper defines a new grammar for complex workflows
with chaining machine-executable meaning representations for semantic parsing.
The representations are at a high abstraction level. Additionally, an approach
to creating datasets is proposed based on this grammar.
