In existing literature, little attention has been paid to the problems
of how the uncertainty reflected by natural language text (e.g. verbal and
linguistic uncertainty) can be explicitly formulated in argumentation schemes,
and how argumentation schemes enriched with various types of uncertainty can be
exploited to support argumentation mining and evaluation. In this paper, we focus
on the first problem, and introduce some preliminary ideas about how to
classify and encompass uncertainty in argumentation schemes.