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Amplifying community content creation with mixed initiative information extraction.

, , , , , и . CHI, стр. 1849-1858. ACM, (2009)

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Badrudin Amershi

 

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“Who doesn't like dinosaurs?” Finding and Eliciting Richer Preferences for Recommendation, , и . Fourteenth ACM Conference on Recommender Systems, стр. 398-407. ACM, (сентября 2020)The Label Complexity of Mixed-Initiative Classifier Training., , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 2800-2809. JMLR.org, (2016)Toward Responsible AI by Planning to Fail.. KDD, стр. 3607. ACM, (2020)Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence., , , , и . CHI, стр. 185. ACM, (2019)Unsupervised and supervised machine learning in user modeling for intelligent learning environments., и . IUI, стр. 72-81. ACM, (2007)Guidelines for Human-AI Interaction, , , , , , , , , и 3 other автор(ы). Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI \textquotesingle19, стр. 1-13. ACM Press, (2019)Examining multiple potential models in end-user interactive concept learning., , , и . CHI, стр. 1357-1360. ACM, (2010)Amplifying community content creation with mixed initiative information extraction., , , , , и . CHI, стр. 1849-1858. ACM, (2009)A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs., , , и . EMNLP, стр. 340-350. The Association for Computational Linguistics, (2016)Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions., , и . ACL (1), стр. 575-593. Association for Computational Linguistics, (2023)