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A Survey of Semantic Parsing Techniques

Symmetry, ISSN: 2073-8994, Vol: 16, Issue: 9
2024
  • 0
    Citations
  • 0
    Usage
  • 9
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Captures
    9
  • Mentions
    1
    • News Mentions
      1
      • News
        1

Most Recent News

Guilin University of Electronic Technology Researcher Adds New Study Findings to Research in Mathematics (A Survey of Semantic Parsing Techniques)

2024 SEP 27 (NewsRx) -- By a News Reporter-Staff News Editor at Network Daily News -- Investigators discuss new findings in mathematics. According to news

Review Description

In the information age, semantic parsing technology drives efficiency improvement and accelerates the process of intelligence. However, it faces complex understanding, data inflation, inappropriate evaluation, and difficult application of advanced large models. This study analyses the current challenges and looks forward to the development trend of the technology. Specific approaches include: this study adopts a systematic review method and strictly follows the PRISMA framework, deeply analyzes the key ideas, methods, problems, and solutions of traditional and neural network methods, and explores the model performance, API application, dataset, and evaluation mechanism. Through literature analysis, the technology is classified according to its application scenarios. Then, the practical application contributions are summarized, current limitations such as data size, model performance, and resource requirements are analyzed, and future directions such as dataset expansion, real-time performance enhancement, and industrial applications are envisioned. The results of the study show significant advances in semantic parsing technology with far-reaching impacts. Traditional and neural network methods complement each other to promote theoretical and practical innovation. In the future, with the continuous progress and in-depth application of machine learning technology, semantic parsing technology needs to further deepen the research on logical reasoning and evaluation, to better cope with technical challenges and lead the new development of natural language processing and AI.

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