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Highlighting interventions and user differences: informing adaptive information visualization support.

, , , , , and . CHI, page 1835-1844. ACM, (2014)

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Generating explanations in context., and . IUI, page 175-182. ACM, (1993)Saying It in Graphics: From Intentions to Visualizations., , , , and . INFOVIS, page 97-101. IEEE Computer Society, (1998)Unsupervised Learning of Discourse Structures using a Tree Autoencoder., and . CoRR, (2020)ConVisIT: Interactive Topic Modeling for Exploring Asynchronous Online Conversations, and . Proceedings of the 20th International Conference on Intelligent User Interfaces, page 169--180. New York, NY, USA, ACM, (2015)Natural language generation and hypertext access., , , and . Applied Artificial Intelligence, 7 (2): 135-164 (1993)Adaptive Information Visualization - Predicting user characteristics and task context from eye gaze., , and . UMAP Workshops, volume 872 of CEUR Workshop Proceedings, CEUR-WS.org, (2012)Chat Disentanglement: Identifying Semantic Reply Relationships with Random Forests and Recurrent Neural Networks., and . IJCNLP(1), page 615-623. Asian Federation of Natural Language Processing, (2017)A Template-based Abstractive Meeting Summarization: Leveraging Summary and Source Text Relationships., , , and . INLG, page 45-53. The Association for Computer Linguistics, (2014)Domain Adaptation for Detecting Mild Cognitive Impairment., , , and . Canadian AI, volume 10233 of Lecture Notes in Computer Science, page 248-259. (2017)Multi-modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation., , , , , , , and . MMM (3), volume 14556 of Lecture Notes in Computer Science, page 410-424. Springer, (2024)