Yu, 2019
| Publication | Publication Date | Title |
|---|---|---|
| Yu et al. | FlowSense: A natural language interface for visual data exploration within a dataflow system | |
| WO2020061586A1 (en) | Code completion | |
| Aghaee et al. | End-user development of mashups with naturalmash | |
| US20130080948A1 (en) | System and method for interactive visual representation of information content using assertions | |
| CN110245270A (en) | Data genetic connection storage method, system, medium and equipment based on graph model | |
| He et al. | Leveraging foundation models for crafting narrative visualization: A survey | |
| Dattolo et al. | Assisting researchers in bibliographic tasks: A new usable, real‐time tool for analyzing bibliographies | |
| EP3786810B1 (en) | Automatic generation of computing artifacts for data analysis | |
| Shao et al. | Visual explanation for open-domain question answering with bert | |
| He et al. | Leveraging foundation models for crafting narrative visualization: A survey | |
| Bako et al. | Streamlining visualization authoring in d3 through user-driven templates | |
| Bako et al. | User-driven support for visualization prototyping in D3 | |
| George | Practical data science with Python: learn tools and techniques from hands-on examples to extract insights from data | |
| Ettorre et al. | Stunning doodle: a tool for joint visualization and analysis of knowledge graphs and graph embeddings | |
| Nafari et al. | Query2Question: Translating visualization interaction into natural language | |
| Yu | Visflow: A Web-based Dataflow Framework for Visual Data Exploration | |
| Yalcin | A systematic and minimalist approach to lower barriers in visual data exploration | |
| Miedema | Towards successful interaction between humans and databases | |
| Wehnert et al. | A dynamic approach for visualizing and exploring concept hierarchies from textbooks | |
| Euzenat et al. | User involvement | |
| Epperson et al. | Texture: Structured exploration of text datasets | |
| Gardiner | Beyond Heaven and Earth: A Cognitive Theory of Religion: by Gabriel Levy, Cambridge, MA, The MIT Press, 2022, xii+ 249 pp., US $45.00 (paperback), ISBN: 978 026 254324 8 | |
| Manto | Conversational access to structured knowledge exploiting large models | |
| Zarka | Trace-based reasoning for user assistance and recommendations | |
| US20250258994A1 (en) | Computer-Implemented Methods and Systems for Dynamic Prompt Generation and Integration with Large Language Models for Document Revision |