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Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States.

, , , , and . EMNLP (Findings), page 288-301. Association for Computational Linguistics, (2021)

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Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings., , , , , , , and . CoRR, (2020)Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment., , , and . AAAI, page 8018-8025. AAAI Press, (2020)Differentially Private Language Models for Secure Data Sharing., , , , and . EMNLP, page 4860-4873. Association for Computational Linguistics, (2022)Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models., , , , , , , , , and 12 other author(s). LREC/COLING, page 8050-8094. ELRA and ICCL, (2024)Can Large Language Models Infer Causation from Correlation?, , , , , , , and . ICLR, OpenReview.net, (2024)Natural Language Processing for Policymaking., and . CoRR, (2023)A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions., , , , , , and . CoRR, (2024)Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States., , , , and . EMNLP (Findings), page 288-301. Association for Computational Linguistics, (2021)Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP., , , , , , and . EMNLP (1), page 9499-9513. Association for Computational Linguistics, (2021)Multilingual Trolley Problems for Language Models., , , , , , , , , and 2 other author(s). CoRR, (2024)