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Medical Named Entity Recognition

2 papers with code · Natural Language Processing

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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). However, these gains rely on the availability of large amounts of annotated examples, without which state-of-the-art performance is rarely achievable.

FEW-SHOT LEARNING MEDICAL NAMED ENTITY RECOGNITION WORD EMBEDDINGS

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. We present the first analysis of automatically extracting descriptions of patient mobility, using a recently-developed dataset of free text electronic health records.

DOMAIN ADAPTATION MEDICAL NAMED ENTITY RECOGNITION WORD EMBEDDINGS