Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks

Sequential labeling-based NER approaches restrict each word belonging to at most one entity mention, which will face a serious problem when recognizing nested entity mentions. In this paper, we propose to resolve this problem by modeling and leveraging the head-driven phrase structures of entity mentions, i.e., although a mention can nest other mentions, they will not share the same head word... (read more)

PDF Abstract ACL 2019 PDF ACL 2019 Abstract

Datasets


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Named Entity Recognition ACE 2005 Anchor-Region Networks F1 74.9 # 9
Nested Mention Recognition ACE 2005 Anchor-Region Networks F1 74.9 # 6
Nested Named Entity Recognition ACE 2005 Anchor-Region Networks F1 75.9 # 7
Nested Named Entity Recognition GENIA Anchor-Region Networks F1 74.8 # 10
Named Entity Recognition GENIA Anchor-Region Networks F1 74.8 # 7

Methods used in the Paper


METHOD TYPE
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