Multi-Grained Named Entity Recognition

This paper presents a novel framework, MGNER, for Multi-Grained Named Entity Recognition where multiple entities or entity mentions in a sentence could be non-overlapping or totally nested. Different from traditional approaches regarding NER as a sequential labeling task and annotate entities consecutively, MGNER detects and recognizes entities on multiple granularities: it is able to recognize named entities without explicitly assuming non-overlapping or totally nested structures... (read more)

PDF Abstract ACL 2019 PDF ACL 2019 Abstract

Datasets


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT BENCHMARK
Nested Mention Recognition ACE 2004 MGNER F1 79.5 # 4
Nested Named Entity Recognition ACE 2004 MGNER F1 79.5 # 4
Named Entity Recognition ACE 2004 MGNER F1 79.5 # 4
Nested Named Entity Recognition ACE 2005 MGNER F1 78.2 # 5
Nested Mention Recognition ACE 2005 MGNER F1 78.2 # 4
Named Entity Recognition ACE 2005 MGNER F1 78.2 # 6
Named Entity Recognition CoNLL 2003 (English) MGNER F1 92.28 # 22

Methods used in the Paper


METHOD TYPE
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