preprintJan 1, 2020GOLD OA
A Unified MRC Framework for Named Entity Recognition
Shannon Applied Biotechnology Centre · Zhejiang University
Indexed incrossref
Abstract
The task of named entity recognition (NER) is normally divided into nested NER and flat NER depending on whether named entities are nested or not. Models are usually separately developed for the two tasks, since sequence labeling models are only able to assign a single label to a particular token, which is unsuitable for nested NER where a token may be assigned several labels.
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Authors
6- XLXiaoya LiCorresponding
Shannon Applied Biotechnology Centre, Zhejiang University
- JFJingrong Feng
Shannon Applied Biotechnology Centre, Zhejiang University
- YMYuxian Meng
Shannon Applied Biotechnology Centre, Zhejiang University
- QHQinghong Han
- FWFei Wu
Shannon Applied Biotechnology Centre, Zhejiang University
Topics & keywords
Topics
Keywords
- Named-entity recognition
- Computer science
- Task (project management)
- Question answering
- Entity linking
- Artificial intelligence
- Natural language processing
- Security token
UN Sustainable Development Goals
- Quality Education
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