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Closing the Loop: User-Centered Design and Evaluation of a Human-in-the-Loop Topic Modeling System.

, , , , and . IUI, page 293-304. ACM, (2018)

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Revisiting Calibration for Question Answering., , , and . CoRR, (2022)Beyond Automated Evaluation Metrics: Evaluating Topic Models On Practical Social Science Content Analysis Tasks., , , , , , , and . CoRR, (2024)Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions., , , and . CoRR, (2018)Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong., , , , , , and . CoRR, (2023)InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction., , , , , , , and . CoRR, (2023)Can You Unpack That? Learning to Rewrite Questions-in-Context., , and . EMNLP/IJCNLP (1), page 5917-5923. Association for Computational Linguistics, (2019)Adapting Topic Models using Lexical Associations with Tree Priors., , and . EMNLP, page 1901-1906. Association for Computational Linguistics, (2017)Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback., , and . EMNLP, page 1464-1474. Association for Computational Linguistics, (2017)Why ADAGRAD Fails for Online Topic Modeling., , and . EMNLP, page 446-451. Association for Computational Linguistics, (2017)Learning to Explain Selectively: A Case Study on Question Answering., and . EMNLP, page 8372-8382. Association for Computational Linguistics, (2022)