Samuel Carton

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 20

Top Topics

Recurrent Neural Networks

Natural Language

Top Venues

Publications

Satanu Ghosh, Neal R. Brodnik, Carolina Frey, Collin Holgate, Tresa M. Pollock, Samantha H. Daly, Samuel Carton
Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Dataset. ACL (Findings) (2024)
Satanu Ghosh, Neal R. Brodnik, Carolina Frey, Collin Holgate, Tresa M. Pollock, Samantha H. Daly, Samuel Carton
Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Datasets. CoRR (2024)
Yiming Zhang, Yangqiaoyu Zhou, Samuel Carton, Chenhao Tan
Learning to Ignore Adversarial Attacks. EACL (2023)
Samuel Carton, Surya Kanoria, Chenhao Tan
What to Learn, and How: Toward Effective Learning from Rationales. ACL (Findings) (2022)
Yiming Zhang, Yangqiaoyu Zhou, Samuel Carton, Chenhao Tan
Learning to Ignore Adversarial Attacks. CoRR (2022)
Vivian Lai, Samuel Carton, Rajat Bhatnagar, Q. Vera Liao, Yunfeng Zhang, Chenhao Tan
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation. CoRR (2022)
Vivian Lai, Samuel Carton, Rajat Bhatnagar, Q. Vera Liao, Yunfeng Zhang, Chenhao Tan
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation. CHI (2022)
Samuel Carton, Surya Kanoria, Chenhao Tan
What to Learn, and How: Toward Effective Learning from Rationales. CoRR (2021)
Cristina Garbacea, Mengtian Guo, Samuel Carton, Qiaozhu Mei
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification. ACL/IJCNLP (1) (2021)
Samuel Carton, Anirudh Rathore, Chenhao Tan
Evaluating and Characterizing Human Rationales. CoRR (2020)
Cristina Garbacea, Mengtian Guo, Samuel Carton, Qiaozhu Mei
An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification. CoRR (2020)
Samuel Carton, Anirudh Rathore, Chenhao Tan
Evaluating and Characterizing Human Rationales. EMNLP (1) (2020)
Samuel Carton, Qiaozhu Mei, Paul Resnick
Feature-Based Explanations Don't Help People Detect Misclassifications of Online Toxicity. ICWSM (2020)
Vivian Lai, Samuel Carton, Chenhao Tan
Harnessing Explanations to Bridge AI and Humans. CoRR (2020)
Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation. EMNLP/IJCNLP (1) (2019)
Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation. CoRR (2019)
Samuel Carton, Qiaozhu Mei, Paul Resnick
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts. CoRR (2018)
Samuel Carton, Qiaozhu Mei, Paul Resnick
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts. EMNLP (2018)
Jian Tang, Yifan Yang, Samuel Carton, Ming Zhang, Qiaozhu Mei
Context-aware Natural Language Generation with Recurrent Neural Networks. CoRR (2016)
Samuel Carton, Jennifer Helsby, Kenneth Joseph, Ayesha Mahmud, Youngsoo Park, Joe Walsh, Crystal Cody, C. P. T. Estella Patterson, Lauren Haynes, Rayid Ghani
Identifying Police Officers at Risk of Adverse Events. KDD (2016)
Samuel Carton, Souneil Park, Nicole Zeffer, Eytan Adar, Qiaozhu Mei, Paul Resnick
Audience Analysis for Competing Memes in Social Media. ICWSM (2015)
Brent J. Hecht, Samuel Carton, Mahmood Quaderi, Johannes Schöning, Martin Raubal, Darren Gergle, Doug Downey
Explanatory semantic relatedness and explicit spatialization for exploratory search. SIGIR (2012)
Patti Bao, Brent J. Hecht, Samuel Carton, Mahmood Quaderi, Michael S. Horn, Darren Gergle
Omnipedia: bridging the wikipedia language gap. CHI (2012)