Stefan Larson
10 papers · 2019–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (6) π Academic Marathon (5) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(20)
π₯
Unstoppable
(6)
π
Century Club
(10)
Conferences
EMNLP (3)
COLING (2)
EACL (2)
IJCNLP (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
intent classification
(5)
text classification
(3)
dialog system
(3)
label noise
(2)
benchmark dataset
(2)
benchmark evaluation
(2)
out-of-scope prediction
(2)
data quality
(2)
document classification
(2)
privacy preservation
(1)
outlier detection
(1)
open information extraction
(1)
document understanding
(1)
out-of-distribution generalization
(1)
natural language understanding
(1)
data augmentation
(1)
out-of-distribution detection
(1)
synthetic datum
(1)
distribution shift
(1)
task-oriented dialogue
(1)
Papers
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification
COLING 2024
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP
EMNLP 2024
On Evaluation of Document Classification with RVL-CDIP
EACL 2023
Evaluating Out-of-Distribution Performance on Document Image Classifiers
NIPS 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
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems
NAACL 2019
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
EMNLP 2019
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
IJCNLP 2019