bert large NER If my open source models have been useful to you, please consider supporting me in building small, useful AI models for everyone (and help me afford med school / help out my parents financially). Thanks! Model description bert large NER is a fine tuned BERT model that is ready to use for Named Entity Recognition and achieves state of the art performance for the NER task. It has been trained to recognize four types of entities: location (LOC), organizations (ORG), person (PER) and Miscellaneous (MISC). Specifically, this model is a bert large cased model that was fine tuned on the English version of the standard CoNLL 2003 Named Entity Recognition dataset. If you'd like to use a smaller BERT model fine tuned on the same dataset, a bert base NER version is also available. Intended uses & limitations How to use You can use this model with Transformers pipeline for NER. Limitations and bias This model is limited by its training dataset of entity annotated news articles from a specific span of time. This may not generalize well for all use cases in different domains. Furthermore, the model occassionally tags subword tokens as entities and post processing of results may be…
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