IIRM: Intelligent Information Retrieval Model for Structured Documents by One-Shot Training Using Computer Vision

Guha, Abhijit; Samanta, Debabrata; Islam, SK Hafizul

doi:10.1007/s13369-022-06735-3

Cited by 2 publications

(1 citation statement)

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“…The existing discipline inspection and supervision information system still has some manual intervention in the process of information retrieval, and has not fully realized intelligent retrieval. This may lead to low retrieval efficiency, and even the deviation of retrieval results [3][4]. Therefore, the future development should pay more attention to improving the intelligence of information retrieval and introduce more advanced artificial intelligence technologies, such as natural language processing and machine learning, in order to improve the accuracy and efficiency of retrieval.…”

Section: Introductionmentioning

confidence: 99%

Research on Efficient Retrieval Method of Key Information of Discipline Inspection and Supervision Based on Digital Technology

Chen,

Cai

2024

Proceedings of the 3rd International Conference on Innovation Design and Digital Technology, ICIDDT 2023, November 3–5, 2023, Z

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Influenced by the characteristics of discipline inspection and supervision information itself, it is difficult to guarantee the correlation between the corresponding retrieval results and the retrieval objectives. Therefore, this paper puts forward the research on the efficient retrieval method of key information of discipline inspection and supervision based on digital technology. After comprehensively analyzing its specific attributes from four aspects: discipline inspection and supervision workflow information, discipline inspection and supervision object type information, discipline inspection and supervision content information and discipline inspection and supervision result information, the LightLDA technology in digital technology is introduced in the specific retrieval method design process, and the information in the retrieval likelihood model of discipline inspection and supervision information is fused with LDA by Wei and Croft in the LightLDA technology, and the information with the greatest likelihood to the retrieval information is taken as the retrieval output result. In the test results, the nDCG value is always stable above 40.0%,recall rates are consistently above 90%, which has obvious advantages compared with the control group.

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Section: Introductionmentioning

confidence: 99%