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Biomedical Named Entity Recognition at Scale

12 Nov 2020JohnSnowLabs/spark-nlp

Named entity recognition (NER) is a widely applicable natural language processing task and building block of question answering, topic modeling, information retrieval, etc.

ENTITY RESOLUTION INFORMATION RETRIEVAL MEDICAL NAMED ENTITY RECOGNITION QUESTION ANSWERING RELATION EXTRACTION

Few-shot Learning for Named Entity Recognition in Medical Text

13 Nov 2018mxhofer/Named-Entity-Recognition-BidirectionalLSTM-CNN-CoNLL

Deep neural network models have recently achieved state-of-the-art performance gains in a variety of natural language processing (NLP) tasks (Young, Hazarika, Poria, & Cambria, 2017).

FEW-SHOT LEARNING MEDICAL NAMED ENTITY RECOGNITION WORD EMBEDDINGS

BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling Tasks

13 Aug 2019shreyashub/BioFLAIR

We also investigate the effects of a small amount of additional pretraining on PubMed content, and of combining FLAIR and ELMO models.

 Ranked #1 on Named Entity Recognition on Species-800 (using extra training data)

MEDICAL NAMED ENTITY RECOGNITION

ELECTRAMed: a new pre-trained language representation model for biomedical NLP

19 Apr 2021gmpoli/electramed

The overwhelming amount of biomedical scientific texts calls for the development of effective language models able to tackle a wide range of biomedical natural language processing (NLP) tasks.

 Ranked #1 on Named Entity Recognition on BC5CDR (using extra training data)

DRUG–DRUG INTERACTION EXTRACTION LANGUAGE MODELLING MEDICAL NAMED ENTITY RECOGNITION QUESTION ANSWERING RELATION EXTRACTION

A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization

14 Dec 2018SendongZhao/Multi-Task-Learning-for-MER-and-MEN

State-of-the-art studies have demonstrated the superiority of joint modelling over pipeline implementation for medical named entity recognition and normalization due to the mutual benefits between the two processes.

MEDICAL NAMED ENTITY RECOGNITION MULTI-TASK LEARNING

Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility

WS 2018 drgriffis/NeuralVecmap

Functioning is gaining recognition as an important indicator of global health, but remains under-studied in medical natural language processing research.

DOMAIN ADAPTATION MEDICAL NAMED ENTITY RECOGNITION WORD EMBEDDINGS