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)

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Results from the Paper


Ranked #4 on Nested Named Entity Recognition on ACE 2004 (using extra training data)

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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 # 5
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 # 7
Named Entity Recognition CoNLL 2003 (English) MGNER F1 92.28 # 25

Methods used in the Paper


METHOD TYPE
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