PENNER - Pattern-enhanced Nested Named Entity Recognition in Biomedical LiteratureEI

摘要

Many biomedical entity mentions contain other entity mentions nested inside. Most current named entity recognition (NER) systems deal with only flat entities and ignore such nested entities, which may introduce errors to subsequent tasks such as relation extraction and knowledge base completion. Recently, fully supervised methods are proposed for nested named entity recognition. Despite their success on benchmark datasets, supervised methods rely on human annotation and lead to highly specialized systems that cannot be easily adapted ...更多

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pp. 540-547, 2018.

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