  Dependency parsing is a tool widely used in the field of Natural language
processing and computational linguistics. However, there is hardly any work
that connects dependency parsing to monotonicity, which is an essential part of
logic and linguistic semantics. In this paper, we present a system that
automatically annotates monotonicity information based on Universal Dependency
parse trees. Our system utilizes surface-level monotonicity facts about
quantifiers, lexical items, and token-level polarity information. We compared
our system's performance with existing systems in the literature, including
NatLog and ccg2mono, on a small evaluation dataset. Results show that our
system outperforms NatLog and ccg2mono.
