Deep Exhaustive Model for Nested Named Entity Recognition 论文
2018引用 241
Topic ModelingBiomedical Text Mining and OntologiesNatural Language Processing Techniques
摘要
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.