Search Results - "Text2SQL"

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  1. 1

    LI-EMRSQL: Linking Information Enhanced Text2SQL Parsing on Complex Electronic Medical Records by Li, Qing, You, Tao, Chen, Jinchao, Zhang, Ying, Du, Chenglie

    ISSN: 0018-9529, 1558-1721
    Published: New York IEEE 01.06.2024
    Published in IEEE transactions on reliability (01.06.2024)
    “…Converting natural language text into executable SQL queries significantly impacts the healthcare domain, specifically when applied to electronic medical…”
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    Journal Article
  2. 2

    Chat with MES: LLM-driven user interface for manipulating garment manufacturing system through natural language by Yuan, Zhaolin, Li, Ming, Liu, Chang, Han, Fangyuan, Huang, Haolun, Dai, Hong-Ning

    ISSN: 0278-6125
    Published: Elsevier Ltd 01.06.2025
    Published in Journal of manufacturing systems (01.06.2025)
    “…This paper presents Chat with MES (CWM), an AI agent system, which integrates LLMs into the Manufacturing Execution System (MES), serving as the “ears, mouth,…”
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    Journal Article
  3. 3

    Dairy GPT: Empowering dairy farmers to interact with numerical databases through natural language conversations by Gontijo, Danillo, Rolins Santana, Douglas, de Assis Costa, Gustavo, Cabrera, Victor E., Noronha de Andrade Freitas, Eduardo

    ISSN: 2772-3755, 2772-3755
    Published: Elsevier B.V 01.12.2025
    Published in Smart agricultural technology (01.12.2025)
    “…Large language models (LLMs), like GPT-4, have revolutionized artificial intelligence by enabling intuitive text and voice interactions, simplifying complex…”
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    Journal Article
  4. 4

    A survey on complex factual question answering by Zhang, Lingxi, Zhang, Jing, Ke, Xirui, Li, Haoyang, Huang, Xinmei, Shao, Zhonghui, Cao, Shulin, Lv, Xin

    ISSN: 2666-6510, 2666-6510
    Published: Elsevier B.V 2023
    Published in AI open (2023)
    “…Answering complex factual questions has drawn a lot of attention. Researchers leverage various data sources to support complex QA, such as unstructured texts,…”
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    Journal Article
  5. 5

    M-SQL: Multi-task Representation Learning for Single-Table Text2SQL Generation by Zhang, Xiaoyu, Yin, Fengjing, Ma, Guojie, Ge, Bin, Xiao, Weidong

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 01.01.2020
    Published in IEEE access (01.01.2020)
    “…Text2SQL can help non-professionals connect with databases by turning natural languages into SQL. Although previous researches about Text2SQL have provided…”
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    Journal Article
  6. 6

    F-SQL: Fuse Table Schema and Table Content for Single-Table Text2SQL Generation by Zhang, Xiaoyu, Yin, Fengjing, Ma, Guojie, Ge, Bin, Xiao, Weidong

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2020
    Published in IEEE access (2020)
    “…Automatically parsing SQL queries from natural languages can help non-professionals access databases and improve the efficiency of information utilization. It…”
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    Journal Article
  7. 7

    Evaluating ChatGPT for Text-To-SQL: An Empirical Approach by Petkovic, Dusan

    Published: IEEE 07.08.2025
    “…Since the existence of database systems, the querying of data managed by them has been one of the most important and challenging task for their users. For this…”
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    Conference Proceeding
  8. 8

    SEED: Enhancing Text-to-SQL Performance and Practical Usability Through Automatic Evidence Generation by Yun, Janghyeon, Lee, Sang-goo

    ISSN: 2473-3490
    Published: IEEE 19.05.2025
    “…Text-to-SQL enables non-experts to retrieve data from databases by converting natural language queries into SQL. However, state-of-the-art text-to-SQL studies…”
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    Conference Proceeding
  9. 9

    Auto-Assess: Automated Evaluation Platform for Enhanced SQL learning by Motiwala, Mohommed Arman, Joshi, Ananya, Chapaneri, Radhika

    ISSN: 2688-0288
    Published: IEEE 18.01.2025
    “…This work describes the designing and development of an AI-driven SQL learning and teaching platform that could be used for automating SQL query generation,…”
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    Conference Proceeding
  10. 10

    T2I-RISE: Text-to-Insights with Reinforcement learning, Integration of Semantic layers and Enrichment - A Comprehensive Approach with Conversational Context and Feedback Systems by Katikeri, Raghu, Phaniraja, Sai, Pratheek, Sai, Desai, Rajvi, Vaid, Amit, Shukla, Neelesh, Jain, Sandeep

    ISSN: 2573-2978
    Published: IEEE 15.12.2024
    Published in IEEE International Conference on Big Data (15.12.2024)
    “…This study introduces T2I-RISE, an innovative approach aimed at enabling natural language querying of databases, which could transform data-driven decision…”
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    Conference Proceeding
  11. 11

    Evaluating Fine-Tuned LLMs with RAG and Text2SQL for the Water Conservancy Domain by Huang, Zheyuan, Ma, Shuaisen, Wang, Hongxia, Zheng, Zilong, Yu, Jiahui, Xia, Yifan

    ISSN: 2159-1288
    Published: IEEE 25.04.2025
    “…This study presents WaterQA, an intelligent question-answering platform addressing challenges in water resource management using Large Language Models (LLMs)…”
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    Conference Proceeding
  12. 12

    SPSQL: Step-by-step Parsing Based Framework for Text-to-SQL Generation by Shen, Ran, Sun, Gang, Shen, Hao, Li, Yiling, Jin, Liangfeng, Jiang, Han

    Published: IEEE 01.03.2023
    “…Converting text into the structured query language (Text2SQL) is a research hotspot in the field of natural language processing (NLP), which has broad…”
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    Conference Proceeding
  13. 13

    Research on BERT-based Text2SQL Multi-task Learning by Xusheng, Liu, Yeteng, An, Jingxian, Lv, Huimin, Zhang, Yumeng, Zhang, Min, Li, Wei, Zhao, Wei, Han, Liangfei, Sun, Huiqin, Li

    Published: IEEE 29.01.2023
    “…With the continuous development of computer technology, the Internet has entered the era of big data, which has spawned massive data in various fields and…”
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    Conference Proceeding
  14. 14

    Evaluating Ambiguous Questions in Semantic Parsing by Papicchio, Simone, Papotti, Paolo, Cagliero, Luca

    ISSN: 2473-3490
    Published: IEEE 13.05.2024
    “…Tabular Representation Learning and Large Language Models have recently achieved promising results in solving the Semantic Parsing (SP) task. Given a question…”
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    Conference Proceeding
  15. 15

    Bert-based Text-to-SQL Generation method with question-table content enhancement and template filling by Long, Hua, Cao, Dongyu

    Published: IEEE 01.11.2021
    “…Generating SQL queries through natural language is a way to both reduce the cost of learning SQL for users and improve the efficiency of data queries, and has…”
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    Conference Proceeding