Building domain specific NERs by using information from domain-general annotations

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Building domain-specific Named Entity Recognizers using information from domain-general annotations

Team Members

Project Idea

When adapting Named Entity Recognizers for a new domain, we often need to design and incorporate domain specific new features and retrain existing classifiers. Often, information generated from non-domain specific NERs and annotators are not re-used when building domain specific NERs. In our project, we propose to design a CRF-based NER which uses graphical models to incorporate information obtained from non-domain specific NERs and annotators to perform domain specific named entity recognition.