Samuel Carton
Samuel Carton
Assistant Professor, University of New Hampshire
Verified email at - Homepage
Cited by
Cited by
Omnipedia: bridging the wikipedia language gap
P Bao, B Hecht, S Carton, M Quaderi, M Horn, D Gergle
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2012
Human-ai collaboration via conditional delegation: A case study of content moderation
V Lai, S Carton, R Bhatnagar, QV Liao, Y Zhang, C Tan
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022
Rumorlens: A system for analyzing the impact of rumors and corrections in social media
P Resnick, S Carton, S Park, Y Shen, N Zeffer
Proc. Computational Journalism Conference 5 (7), 2014
Feature-based explanations don't help people detect misclassifications of online toxicity
S Carton, Q Mei, P Resnick
Proceedings of the international AAAI conference on web and social media 14 …, 2020
Identifying police officers at risk of adverse events
S Carton, J Helsby, K Joseph, A Mahmud, Y Park, J Walsh, C Cody, ...
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
Explanatory semantic relatedness and explicit spatialization for exploratory search
B Hecht, SH Carton, M Quaderi, J Schöning, M Raubal, D Gergle, ...
Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012
Evaluating and characterizing human rationales
S Carton, A Rathore, C Tan
arXiv preprint arXiv:2010.04736, 2020
Early intervention systems: Predicting adverse interactions between police and the public
J Helsby, S Carton, K Joseph, A Mahmud, Y Park, A Navarrete, ...
Criminal justice policy review 29 (2), 190-209, 2018
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts
S Carton, Q Mei, P Resnick
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
Judge the judges: A large-scale evaluation study of neural language models for online review generation
C Garbacea, S Carton, S Yan, Q Mei
arXiv preprint arXiv:1901.00398, 2019
Explainable prediction of text complexity: The missing preliminaries for text simplification
C Garbacea, M Guo, S Carton, Q Mei
arXiv preprint arXiv:2007.15823, 2020
What to learn, and how: Toward effective learning from rationales
S Carton, S Kanoria, C Tan
Findings of the Association for Computational Linguistics: ACL 2022, 1075-1088, 2022
Human-centered evaluation of explanations
J Boyd-Graber, S Carton, S Feng, QV Liao, T Lombrozo, A Smith-Renner, ...
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
Perspective: Large language models in applied mechanics
NR Brodnik, S Carton, C Muir, S Ghosh, D Downey, MLP Echlin, ...
Journal of Applied Mechanics 90 (10), 101008, 2023
Audience analysis for competing memes in social media
S Carton, S Park, N Zeffer, E Adar, Q Mei, P Resnick
Proceedings of the International AAAI Conference on Web and Social Media 9 …, 2015
Harnessing explanations to bridge ai and humans
V Lai, S Carton, C Tan
arXiv preprint arXiv:2003.07370, 2020
Learning to Ignore Adversarial Attacks
Y Zhang, Y Zhou, S Carton, C Tan
arXiv preprint arXiv:2205.11551, 2022
An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification.
C Gârbacea, M Guo, S Carton, Q Mei
CoRR, 2020
The Design and Evaluation of Neural Attention Mechanisms for Explaining Text Classifiers
S Carton
Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Datasets
S Ghosh, NR Brodnik, C Frey, C Holgate, TM Pollock, S Daly, S Carton
arXiv preprint arXiv:2406.05348, 2024
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