Samuel Carton
11 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (20) π Academic Marathon (7) π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(20)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(56)
π
Century Club
(11)
π₯
Unstoppable
(8)
Conferences
ACL (3)
EMNLP (3)
IJCNLP (2)
AAAI (1)
EACL (1)
NAACL (1)
Top co-authors
Keywords
text simplification
(2)
text complexity
(2)
natural language generation
(2)
human evaluation
(2)
text classification
(2)
human rationale
(2)
explainable prediction
(2)
weakly supervised learning
(1)
model robustness
(1)
few-shot learning
(1)
weak supervision
(1)
automated evaluation
(1)
neural network model
(1)
adversarial attack
(1)
model behavior
(1)
evaluation metric
(1)
model explanation
(1)
loss function
(1)
model training
(1)
information extraction
(1)
Papers
Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning
AAAI 2025
Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Dataset
ACL 2024
Learning to Ignore Adversarial Attacks
EACL 2023
Human-Centered Evaluation of Explanations
NAACL 2022
What to Learn, and How: Toward Effective Learning from Rationales
ACL 2022
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification
IJCNLP 2021
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification
ACL 2021
Evaluating and Characterizing Human Rationales
EMNLP 2020
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation
EMNLP 2019
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation
IJCNLP 2019
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts
EMNLP 2018