A Neural Transition-based Model for Nested Mention Recognition

It is common that entity mentions can contain other mentions recursively. This paper introduces a scalable transition-based method to model the nested structure of mentions... (read more)

PDF Abstract EMNLP 2018 PDF EMNLP 2018 Abstract

Datasets


Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Nested Mention Recognition ACE 2004 Neural transition-based model F1 73.1 # 6
Nested Named Entity Recognition ACE 2004 Neural transition-based model F1 73.3 # 7
Named Entity Recognition ACE 2004 Neural transition-based model F1 73.3 # 6
Nested Mention Recognition ACE 2005 Neural transition-based model F1 73.0 # 8
Named Entity Recognition ACE 2005 Neural transition-based model F1 73.0 # 10
Nested Named Entity Recognition ACE 2005 neural transition-based model F1 73.0 # 10
Named Entity Recognition GENIA Neural transition-based model F1 73.9 # 9
Nested Named Entity Recognition GENIA Neural transition-based model F1 73.9 # 12

Methods used in the Paper


METHOD TYPE
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