Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey

บทความในวารสาร

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Zhang W.; Wang Y.; Song Y.; Wei V.J.; Tian Y.; Qi Y.; Chan J.H.; Wong R.C.; Yang H.

ผู้เผยแพร่: Institute of Electrical and Electronics Engineers

ปีที่เผยแพร่ (ค.ศ.): 2024

วารสาร: IEEE Transactions on Knowledge and Data Engineering (1041-4347)

Volume number: 36

Issue number: 11

หน้าแรก: 6699

หน้าสุดท้าย: 20

จำนวนหน้า: -6678

นอก: 1041-4347

eISSN: 1558-2191

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193260891&doi=10.1109%2fTKDE.2024.3400824&partnerID=40&md5=8fb397a2a1dc1944e7388e314bebf7c2

ภาษา: English-Great Britain (EN-GB)

ดูบนเว็บไซต์ของสำนักพิมพ์

บทคัดย่อ

The emergence of natural language processing has revolutionized the way users interact with tabular data, enabling a shift from traditional query languages and manual plotting to more intuitive, language-based interfaces. The rise of large language models (LLMs) such as ChatGPT and its successors has further advanced this field, opening new avenues for natural language processing techniques. This survey presents a comprehensive overview of natural language interfaces for tabular data querying and visualization, which allow users to interact with data using natural language queries. We introduce the fundamental concepts and techniques underlying these interfaces with a particular emphasis on semantic parsing, the key technology facilitating the translation from natural language to SQL queries or data visualization commands. We then delve into the recent advancements in Text-to-SQL and Text-to-Vis problems from the perspectives of datasets, methodologies, metrics, and system designs. This includes a deep dive into the influence of LLMs, highlighting their strengths, limitations, and potential for future improvements. Through this survey, we aim to provide a roadmap for researchers and practitioners interested in developing and applying natural language interfaces for data interaction in the era of large language models. IEEE

คำสำคัญ

Large language models, natural language interface, semantic parsing, text -to-SQL, text-to-visualization