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Deep Exhaustive Model for Nested Named Entity Recognition

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Paper overview

Abstract

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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