Understand
The field of data visualisation has long aimed to devise solutions for generating visualisations directly from natural language text.
- Research in Natural Language Interfaces (NLIs) has contributed towards the development of such techniques.
- However, the implementation of workable NLIs has always been challenging due to the inherent ambiguity of natural language, as well as in consequence of unclear and poorly written user queries which pose problems for existing language models in discerning user intent.
- Instead of pursuing the usual path of developing new iterations of language models, this study uniquely proposes leveraging the advancements in pre-trained large language models (LLMs) such as ChatGPT and GPT-3 to convert free-form natural language directly into code for appropriate visualisations.
Reading the bibliography…