Literature DB >> 35104221

Towards Natural Language Interfaces for Data Visualization: A Survey.

Leixian Shen, Enya Shen, Yuyu Luo, Xiaocong Yang, Xuming Hu, Xiongshuai Zhang, Zhiwei Tai, Jianmin Wang.   

Abstract

Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary input modality to direct manipulation for visual analytics can provide an engaging user experience. It enables users to focus on their tasks rather than having to worry about how to operate visualization tools on the interface. In the past two decades, leveraging advanced natural language processing technologies, numerous V-NLI systems have been developed in academic research and commercial software, especially in recent years. In this article, we conduct a comprehensive review of the existing V-NLIs. In order to classify each paper, we develop categorical dimensions based on a classic information visualization pipeline with the extension of a V-NLI layer. The following seven stages are used: query interpretation, data transformation, visual mapping, view transformation, human interaction, dialogue management, and presentation. Finally, we also shed light on several promising directions for future work in the V-NLI community.

Entities:  

Year:  2022        PMID: 35104221     DOI: 10.1109/TVCG.2022.3148007

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  1 in total

1.  Visual Data Analysis with Task-Based Recommendations.

Authors:  Leixian Shen; Enya Shen; Zhiwei Tai; Yihao Xu; Jiaxiang Dong; Jianmin Wang
Journal:  Data Sci Eng       Date:  2022-09-13
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.