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20162023
most citedLearning for Biomedical Information Extraction: Methodological Review of Recent Advances

32 citations · 117 across the 14 of their papers we have counts for

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Showing 2016Show all

6 papers · 1 filter

cs.CL2016★ 1 cited

Ranking medical jargon in electronic health record notes by adapted distant supervision

Jinying Chen, Abhyuday N. Jagannatha, Samah J. Jarad +1

Objective: Allowing patients to access their own electronic health record (EHR) notes through online patient portals has the potential to improve patient-centered care. However, me…

cs.IR2016★ 1 cited

Learning to Rank Scientific Documents from the Crowd

Jesse M Lingeman, Hong Yu

Finding related published articles is an important task in any science, but with the explosion of new work in the biomedical domain it has become especially challenging. Most exist…

cs.CL2016★ 13 cited

Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records

Abhyuday Jagannatha, Hong Yu

Sequence labeling for extraction of medical events and their attributes from unstructured text in Electronic Health Record (EHR) notes is a key step towards semantic understanding…

cs.CL2016

Neural Tree Indexers for Text Understanding

Tsendsuren Munkhdalai, Hong Yu

Recurrent neural networks (RNNs) process input text sequentially and model the conditional transition between word tokens. In contrast, the advantages of recursive networks include…

cs.LG2016

Neural Semantic Encoders

Tsendsuren Munkhdalai, Hong Yu

We present a memory augmented neural network for natural language understanding: Neural Semantic Encoders. NSE is equipped with a novel memory update rule and has a variable sized…

cs.CL2016★ 32 cited

Learning for Biomedical Information Extraction: Methodological Review of Recent Advances

Feifan Liu, Jinying Chen, Abhyuday Jagannatha +1

Biomedical information extraction (BioIE) is important to many applications, including clinical decision support, integrative biology, and pharmacovigilance, and therefore it has b…