Omnipedia: bridging the wikipedia language gap. - Patti Bao; Brent J. Hecht; Samuel Carton; Mahmood Quaderi; Michael S. Horn; Darren Gergle (CHI, 2012)

Explanatory semantic relatedness and explicit spatialization for exploratory search. - Brent J. Hecht; Samuel Carton; Mahmood Quaderi; Johannes Schöning; Martin Raubal; Darren Gergle; Doug Downey (SIGIR, 2012)

Audience Analysis for Competing Memes in Social Media. - Samuel Carton; Souneil Park; Nicole Zeffer; Eytan Adar; Qiaozhu Mei; Paul Resnick (ICWSM, 2015)

Identifying Police Officers at Risk of Adverse Events. - Samuel Carton; Jennifer Helsby; Kenneth Joseph; Ayesha Mahmud; Youngsoo Park; Joe Walsh; Crystal Cody; C. P. T. Estella Patterson; Lauren Haynes; Rayid Ghani (KDD, 2016)

Context-aware Natural Language Generation with Recurrent Neural Networks. - Jian Tang 005; Yifan Yang; Samuel Carton; Ming Zhang 004; Qiaozhu Mei (CoRR, 2016)

Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts. - Samuel Carton; Qiaozhu Mei; Paul Resnick (EMNLP, 2018)

Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation. - Cristina Garbacea; Samuel Carton; Shiyan Yan; Qiaozhu Mei (EMNLP/IJCNLP (1), 2019)

Evaluating and Characterizing Human Rationales. - Samuel Carton; Anirudh Rathore; Chenhao Tan (EMNLP (1), 2020)

Feature-Based Explanations Don't Help People Detect Misclassifications of Online Toxicity. - Samuel Carton; Qiaozhu Mei; Paul Resnick (ICWSM, 2020)

Harnessing Explanations to Bridge AI and Humans. - Vivian Lai; Samuel Carton; Chenhao Tan (CoRR, 2020)

An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification. - Cristina Garbacea; Mengtian Guo; Samuel Carton; Qiaozhu Mei (CoRR, 2020)

Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification. - Cristina Garbacea; Mengtian Guo; Samuel Carton; Qiaozhu Mei (ACL/IJCNLP (1), 2021)

What to Learn, and How: Toward Effective Learning from Rationales. - Samuel Carton; Surya Kanoria; Chenhao Tan (ACL (Findings), 2022)

Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation. - Vivian Lai; Samuel Carton; Rajat Bhatnagar; Q. Vera Liao; Yunfeng Zhang; Chenhao Tan (CHI, 2022)

Learning to Ignore Adversarial Attacks. - Yiming Zhang 022; Yangqiaoyu Zhou; Samuel Carton; Chenhao Tan (EACL, 2023)

Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Dataset. - Satanu Ghosh; Neal R. Brodnik; Carolina Frey; Collin Holgate; Tresa M. Pollock; Samantha H. Daly; Samuel Carton (ACL (Findings), 2024)

Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Datasets. - Satanu Ghosh; Neal R. Brodnik; Carolina Frey; Collin Holgate; Tresa M. Pollock; Samantha H. Daly; Samuel Carton (CoRR, 2024)

Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning. - Karl Elbakian; Samuel Carton (AAAI, 2025)