  This paper presents a simple and effective approach in low-resource named
entity recognition (NER) based on multi-hop dependency trigger. Dependency
trigger refer to salient nodes relative to a entity in the dependency graph of
a context sentence. Our main observation is that there often exists trigger
which play an important role to recognize the location and type of entity in
sentence. Previous research has used manual labelling of trigger. Our main
contribution is to propose use a syntactic parser to automatically annotate
trigger. Experiments on two English datasets (CONLL 2003 and BC5CDR) show that
the proposed method is comparable to the previous trigger-based NER model.
