research
∙
05/25/2021
Impact of detecting clinical trial elements in exploration of COVID-19 literature
The COVID-19 pandemic has driven ever-greater demand for tools which ena...
share
research
∙
08/18/2020
COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research
We present COVID-SEE, a system for medical literature discovery based on...
research
∙
05/14/2020
Distilling neural networks into skipgram-level decision lists
Several previous studies on explanation for recurrent neural networks fo...
research
∙
10/16/2019
Why can't memory networks read effectively?
Memory networks have been a popular choice among neural architectures fo...
research
∙
08/29/2018
Rule induction for global explanation of trained models
Understanding the behavior of a trained network and finding explanations...
research
∙
07/03/2018
Patient representation learning and interpretable evaluation using clinical notes
We have three contributions in this work: 1. We explore the utility of a...
research
∙
03/26/2018
CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehension
We present a new dataset for machine comprehension in the medical domain...
research
∙
11/14/2017
Unsupervised patient representations from clinical notes with interpretable classification decisions
We have two main contributions in this work: 1. We explore the usage of ...
research
∙
10/19/2017
Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram Embeddings
We present an unsupervised context-sensitive spelling correction method ...
research
∙
03/29/2017
A Short Review of Ethical Challenges in Clinical Natural Language Processing
Clinical NLP has an immense potential in contributing to how clinical pr...
research
∙
08/19/2016
Using Distributed Representations to Disambiguate Biomedical and Clinical Concepts
In this paper, we report a knowledge-based method for Word Sense Disambi...
research
∙
03/30/2016
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
We present an approach to learning multi-sense word embeddings relying b...
research
∙
08/31/2015
Word Representations, Tree Models and Syntactic Functions
Word representations induced from models with discrete latent variables ...
research
∙
02/07/2015
