Threddy: An Interactive System for Personalized Thread-based Exploration and Organization of Scientific Literature-Reference-Cited by-同舟云学术

Threddy: An Interactive System for Personalized Thread-based Exploration and Organization of Scientific Literature

Published:2022-10-28 Issue: Volume: Page:
ISSN:
Container-title:The 35th Annual ACM Symposium on User Interface Software and Technology
language:
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Author:

Kang Hyeonsu¹,Chang Joseph Chee²,Kim Yongsung¹,Kittur Aniket³

Affiliation:

1. Human-Computer Interaction Institute, Carnegie Mellon University, United States

2. Semantic Scholar, Allen Institute for AI, United States

3. Human Computer Interaction Institute, Carnegie Mellon University, United States

Funder

Office of Naval Research

National Science Foundation

AI2 Semantic Scholar

Google

Publisher

ACM

Reference69 articles.

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2. Salvatore Andolina , Khalil Klouche , Jaakko Peltonen , Mohammad Hoque , Tuukka Ruotsalo , Diogo Cabral , Arto Klami , Dorota Głowacka , Patrik Floréen , and Giulio Jacucci . 2015 . Intentstreams: smart parallel search streams for branching exploratory search . In Proceedings of the 20th international conference on intelligent user interfaces. 300–305 . Salvatore Andolina, Khalil Klouche, Jaakko Peltonen, Mohammad Hoque, Tuukka Ruotsalo, Diogo Cabral, Arto Klami, Dorota Głowacka, Patrik Floréen, and Giulio Jacucci. 2015. Intentstreams: smart parallel search streams for branching exploratory search. In Proceedings of the 20th international conference on intelligent user interfaces. 300–305.

3. Tal August , Lucy Lu Wang , Jonathan Bragg , Marti A. Hearst , Andrew Head , and Kyle Lo . 2022 . Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing. https://doi.org/10.48550/ARXIV.2203.00130 10.48550/ARXIV.2203.00130 Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, and Kyle Lo. 2022. Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing. https://doi.org/10.48550/ARXIV.2203.00130

4. Elastic Documents: Coupling Text and Tables through Contextual Visualizations for Enhanced Document Reading

5. Physicists Reading Physics

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