The COVID-19 pandemic has driven ever-greater demand for tools which ena...
We present COVID-SEE, a system for medical literature discovery based on...
Several previous studies on explanation for recurrent neural networks fo...
Memory networks have been a popular choice among neural architectures fo...
Understanding the behavior of a trained network and finding explanations...
We have three contributions in this work: 1. We explore the utility of a...
We present a new dataset for machine comprehension in the medical domain...
We have two main contributions in this work: 1. We explore the usage of ...
We present an unsupervised context-sensitive spelling correction method ...
Clinical NLP has an immense potential in contributing to how clinical
pr...
In this paper, we report a knowledge-based method for Word Sense
Disambi...
We present an approach to learning multi-sense word embeddings relying b...
Word representations induced from models with discrete latent variables
...
We present a language complexity analysis of World of Warcraft (WoW)
com...