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Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification.

, , , and . ACL/IJCNLP (1), page 1086-1097. Association for Computational Linguistics, (2021)

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Harnessing Explanations to Bridge AI and Humans., , and . CoRR, (2020)Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Datasets., , , , , , and . CoRR, (2024)An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification., , , and . CoRR, (2020)Feature-Based Explanations Don't Help People Detect Misclassifications of Online Toxicity., , and . ICWSM, page 95-106. AAAI Press, (2020)Identifying Police Officers at Risk of Adverse Events., , , , , , , , , and . KDD, page 67-76. ACM, (2016)Omnipedia: bridging the wikipedia language gap., , , , , and . CHI, page 1075-1084. ACM, (2012)What to Learn, and How: Toward Effective Learning from Rationales., , and . ACL (Findings), page 1075-1088. Association for Computational Linguistics, (2022)Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation., , , , , and . CHI, page 54:1-54:18. ACM, (2022)Audience Analysis for Competing Memes in Social Media., , , , , and . ICWSM, page 41-50. AAAI Press, (2015)Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts., , and . EMNLP, page 3497-3507. Association for Computational Linguistics, (2018)