Stefan Larson
9 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Diamond
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(8)
Application Areas
(6)
Core Methods
(5)
Artificial Intelligence
(4)
Natural Language Processing
(4)
Core AI
(4)
Applications Β· Natural Language Processing
(3)
Learning Types
(3)
Computer Vision
(2)
Domain-Specific
(2)
Generation
(2)
Computer Science
(1)
Security & Privacy
(1)
Applications Β· Computer Science
(1)
Privacy
(1)
Keywords
intent classification
(4)
dialog system
(3)
document classification
(2)
text classification
(2)
benchmark evaluation
(2)
data quality
(2)
label noise
(2)
natural language understanding
(1)
out-of-distribution generalization
(1)
open information extraction
(1)
outlier detection
(1)
distribution shift
(1)
benchmark dataset
(1)
synthetic data
(1)
out-of-distribution detection
(1)
privacy protection
(1)
annotation quality
(1)
data utility
(1)
dialogue system
(1)
slot filling
(1)
Papers
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP
EMNLP 2024
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification
COLING 2024
On Evaluation of Document Classification with RVL-CDIP
EACL 2023
Evaluating Out-of-Distribution Performance on Document Image Classifiers
NeurIPS 2022
LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction
EACL 2021
Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods
COLING 2020
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness
EMNLP 2020
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
EMNLP 2019
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems
NAACL 2019