Neural Segmental Hypergraphs for Overlapping Mention Recognition

EMNLP 2018 • Bailin Wang • Wei Lu

In this work, we propose a novel segmental hypergraph representation to model overlapping entity mentions that are prevalent in many practical datasets. We show that our model built on top of such a new representation is able to capture features and interactions that cannot be captured by previous models while maintaining a low time complexity for inference... (read more)

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CoNLL-2003 GENIA

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Ranked #5 on Named Entity Recognition on ACE 2004

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Named Entity Recognition ACE 2004 Neural segmental hypergraphs F1 75.1 # 5
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Nested Named Entity Recognition ACE 2004 Neural segmental hypergraphs F1 75.1 # 6
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Nested Mention Recognition ACE 2004 Neural segmental hypergraphs F1 75.1 # 5
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Named Entity Recognition ACE 2005 Neural segmental hypergraphs F1 74.5 # 9
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Nested Named Entity Recognition ACE 2005 Neural segmental hypergraphs F1 74.5 # 9
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Nested Mention Recognition ACE 2005 Neural segmental hypergraphs F1 74.5 # 7
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Nested Named Entity Recognition GENIA Neural segmental hypergraphs F1 75.1 # 9
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Named Entity Recognition GENIA Neural segmental hypergraphs F1 75.1 # 6
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