Simon Suster
14 papers · 2014–2023 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (30)
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(68)
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Century Club Β· Bronze
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(2)
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Prolific Year Β· Productive
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Research topics
Machine Learning
(8)
Core Methods
(7)
Natural Language Processing
(6)
Artificial Intelligence
(5)
Applications
(5)
Healthcare & Medicine
(4)
Core AI
(4)
Learning Types Β· Machine Learning
(4)
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(3)
Clinical
(3)
Deep Learning
(1)
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(1)
Learning Types Β· Deep Learning
(1)
Research
(1)
Resources & Methods
(1)
Keywords
representation learning
(4)
biomedical name representation
(2)
neural network
(2)
multi-task learning
(2)
semantic relatedness
(2)
domain adaptation
(1)
natural language inference
(1)
transfer learning
(1)
self-supervised learning
(1)
text mining
(1)
algorithmic fairness
(1)
relation extraction
(1)
topic modeling
(1)
named entity recognition
(1)
feature importance
(1)
latent dirichlet allocation
(1)
reading comprehension
(1)
machine reading comprehension
(1)
document representation
(1)
semantic parsing
(1)
Papers
Promoting Fairness in Classification of Quality of Medical Evidence
ACL 2023
Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?
IJCNLP 2023
Are we there yet? Exploring clinical domain knowledge of BERT models
NAACL 2021
Conceptual Grounding Constraints for Truly Robust Biomedical Name Representations
EACL 2021
Contextual explanation rules for neural clinical classifiers
NAACL 2021
Integrating Higher-Level Semantics into Robust Biomedical Name Representations
EACL 2021
Mapping probability word problems to executable representations
EMNLP 2021
Scalable Few-Shot Learning of Robust Biomedical Name Representations
NAACL 2021
Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration
EMNLP 2020
CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension
NAACL 2018
Revisiting neural relation classification in clinical notes with external information
EMNLP 2018
Rule induction for global explanation of trained models
EMNLP 2018
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
NAACL 2016
From neighborhood to parenthood: the advantages of dependency representation over bigrams in Brown clustering
COLING 2014