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面向数据可视化的自然语言接口研究综述

高帅 奚雪峰 郑倩 崔志明 盛胜利

计算机工程与应用2024,Vol.60Issue(15):24-41,18.
计算机工程与应用2024,Vol.60Issue(15):24-41,18.DOI:10.3778/j.issn.1002-8331.2310-0167

面向数据可视化的自然语言接口研究综述

Review of Research on Natural Language Interfaces for Data Visualization

高帅 1奚雪峰 2郑倩 1崔志明 2盛胜利3

作者信息

  • 1. 苏州科技大学 电子与信息工程学院,江苏 苏州 215000||苏州市虚拟现实智能交互及应用技术重点实验室,江苏 苏州 215000
  • 2. 苏州科技大学 电子与信息工程学院,江苏 苏州 215000||苏州市虚拟现实智能交互及应用技术重点实验室,江苏 苏州 215000||苏州智慧城市研究院,江苏 苏州 215000
  • 3. 德州理工大学,得克萨斯 拉伯克,美国 79401
  • 折叠

摘要

Abstract

The long-standing goal in the field of data visualization has been to find a solution that directly generates visu-alizations from natural language.Research on natural language interfaces(NLI)provides a new approach to this field.This interface accepts queries in the form of natural language and tabular datasets as input and outputs corresponding visu-alization renderings.Simultaneously,as an auxiliary input method,traditional users need to convert analytical intents into a series of logical operations and interact with them,such as programming instructions or graphical interface operations.Combining the use of natural language interfaces for data visualization(DV-NLI)enables users to focus on visualization tasks without worrying about how to operate visualization tools.In recent years,with the rise of large language models(LLM)such as GPT-3 and GPT-4,research on integrating LLM with visualization has become a hot topic.This paper pro-vides a comprehensive review of existing DV-NLIs and supplements them with the latest research.Based on their imple-mentation methods,DV-NLIs are categorized into symbolic NLP methods,deep learning model methods,and large lan-guage model methods.It also analyzes and discusses relevant techniques under each category.Finally,the paper summa-rizes and looks forward to future work in DV-NLI.

关键词

数据可视化/自然语言接口/机器学习/神经网络模型/大语言模型

Key words

data visualization/natural language interface/machine learning/neural network model/large language model

分类

信息技术与安全科学

引用本文复制引用

高帅,奚雪峰,郑倩,崔志明,盛胜利..面向数据可视化的自然语言接口研究综述[J].计算机工程与应用,2024,60(15):24-41,18.

基金项目

国家自然科学基金(62176175) (62176175)

江苏省"六大人才高峰"高层次人才项目(XYDXX-086) (XYDXX-086)

苏州市科技计划项目(SGC2021078). (SGC2021078)

计算机工程与应用

OA北大核心CSTPCD

1002-8331

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