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Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures
Anginal symptoms can connote increased cardiac risk and a need for chang...
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Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector Spaces
In politics, neologisms are frequently invented for partisan objectives....
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A Transformer-based Framework for Multivariate Time Series Representation Learning
In this work we propose for the first time a transformer-based framework...
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Brown University at TREC Deep Learning 2019
This paper describes Brown University's submission to the TREC 2019 Deep...
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Diagnosis Prevalence vs. Efficacy in Machine-learning Based Diagnostic Decision Support
Many recent studies use machine learning to predict a small number of IC...
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Mining Misdiagnosis Patterns from Biomedical Literature
Diagnostic errors can pose a serious threat to patient safety, leading t...
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Wasserstein Adversarial Autoencoders for Knowledge Graph Embedding based Drug-Drug Interaction Prediction
Interaction between pharmacological agents can trigger unexpected advers...
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DC3 – A Diagnostic Case Challenge Collection for Clinical Decision Support
In clinical care, obtaining a correct diagnosis is the first step toward...
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Embedding Electronic Health Records for Clinical Information Retrieval
Neural network representation learning frameworks have recently shown to...
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Biomedical Question Answering via Weighted Neural Network Passage Retrieval
The amount of publicly available biomedical literature has been growing ...
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Web2Text: Deep Structured Boilerplate Removal
Web pages are a valuable source of information for many natural language...
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Evaluating Music Recommender Systems for Groups
Recommendation to groups of users is a challenging and currently only pa...
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Neural Document Embeddings for Intensive Care Patient Mortality Prediction
We present an automatic mortality prediction scheme based on the unstruc...
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Efficient Parallel Learning of Word2Vec
Since its introduction, Word2Vec and its variants are widely used to lea...
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Computing Web-scale Topic Models using an Asynchronous Parameter Server
Topic models such as Latent Dirichlet Allocation (LDA) have been widely ...
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Probabilistic Bag-Of-Hyperlinks Model for Entity Linking
Many fundamental problems in natural language processing rely on determi...
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