research
∙
10/16/2022
This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text
The use of deep neural models for diagnosis prediction from clinical tex...
share
research
∙
02/08/2021
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
Outcome prediction from clinical text can prevent doctors from overlooki...
research
∙
11/09/2020
VisBERT: Hidden-State Visualizations for Transformers
Explainability and interpretability are two important concepts, the abse...
research
∙
02/03/2020
Learning Contextualized Document Representations for Healthcare Answer Retrieval
We present Contextual Discourse Vectors (CDV), a distributed document re...
research
∙
09/11/2019
How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer Representations
Bidirectional Encoder Representations from Transformers (BERT) reach sta...
research
∙
02/13/2019
SECTOR: A Neural Model for Coherent Topic Segmentation and Classification
When searching for information, a human reader first glances over a docu...
research
∙
03/13/2018
IDEL: In-Database Entity Linking with Neural Embeddings
We present a novel architecture, In-Database Entity Linking (IDEL), in w...
research
∙
07/24/2017
Analysing Errors of Open Information Extraction Systems
We report results on benchmarking Open Information Extraction (OIE) syst...
research
∙
08/24/2016