conference-paper
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Deep Exhaustive Model for Nested Named Entity Recognition
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- Citations
- 244
- References
- 26
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- 0
Paper overview
Öz
We propose a simple deep neural model for nested named entity recognition (NER). Most NER models focused on flat entities and ignored nested entities, which failed to fully capture underlying semantic information in texts.
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Publication details
- DOI
- 10.18653/v1/d18-1309
- OpenAlex
- W2892252202
- Document type
- conference-paper
- Language
- EN
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