What’s in the Box
State Of The Art Accuracy
F-Score Results
Production-Grade, Fast & Trainable Implementation of State-of-the-Art Biomedical NLP Research
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“BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding”, Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, CoRR, 2018
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“Entity Recognition from Clinical Texts via Recurrent Neural Network”, Liu et al., BMC Medical Informatics & Decision Making, July 2017.
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“CNN-based ranking for biomedical entity normalization”, Li et al., BMC Bioinformatics, October 2017.
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“Neural Networks For Negation Scope Detection“, Fancellu et al., In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016.
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“How to Train Good Word Embeddings for Biomedical NLP, Billy Chiu, Gamal Crichton“, Anna Korhonen, Sampo Pyysalo, Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016
