Research on guided keyword techniques for enhancing user query effectiveness in intelligent question answering for relay protection setting calculation

The application of intelligent question-answering (QA) technology in the power industry is continuously evolving, but existing systems still face challenges in terms of the effectiveness and accuracy of user queries. This paper proposes an optimization approach for guided keyword templates in the context of relay protection setting calculations within intelligent QA systems. By designing templates, the system helps users formulate clearer and more precise questions, thereby improving the quality of the answers. To address the issues of ambiguity and incompleteness in user queries, five categories of guided keyword templates are designed, along with two evaluation metrics: clarity enhancement and guidance enhancement. The experimental results show that the optimized queries significantly improve both the clarity and guidance of the questions, enhancing the quality of the system’s responses. The guided keyword template system designed in this paper demonstrates its advantages in improving question quality and provides valuable insights for the optimization of intelligent QA systems and for improving QA in other domains.

Authors

Institutions

Publication Details

Published
2025-07-24
DOI
https://doi.org/10.1117/12.3068805
Primary Topic
Technology and Security Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on guided keyword techniques for enhancing user query effectiveness in intelligent question answering for relay protection setting calculation

Yayun Gu, Shaofan Zhang, Maoran Zheng, Wuchen Tang et al.
Technology and Security Systems
article

Research on guided keyword techniques for enhancing user query effectiveness in intelligent question answering for relay protection setting calculation

Yayun Gu, Shaofan Zhang, Maoran Zheng, Wuchen Tang, Ming Gao, Min Zhang, Yanhong Li
article en

Abstract

The application of intelligent question-answering (QA) technology in the power industry is continuously evolving, but existing systems still face challenges in terms of the effectiveness and accuracy of user queries. This paper proposes an optimization approach for guided keyword templates in the context of relay protection setting calculations within intelligent QA systems. By designing templates, the system helps users formulate clearer and more precise questions, thereby improving the quality of the answers. To address the issues of ambiguity and incompleteness in user queries, five categories of guided keyword templates are designed, along with two evaluation metrics: clarity enhancement and guidance enhancement. The experimental results show that the optimized queries significantly improve both the clarity and guidance of the questions, enhancing the quality of the system’s responses. The guided keyword template system designed in this paper demonstrates its advantages in improving question quality and provides valuable insights for the optimization of intelligent QA systems and for improving QA in other domains.

Shanghai Jiao Tong University (CN), Qinghai New Energy (China) (CN), Guangzhou Electronic Technology (China) (CN), China Southern Power Grid (China) (CN)
Openalex Percentile: Top 73%
Technology and Security Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.