计算机技术与发展2025，Vol.35Issue(5)：36-44,9.DOI:10.20165/j.cnki.ISSN1673-629X.2024.0407
基于模态注意力与知识库比对的招标文件编制方法
Method for Bidding Document Compilation Based on Multimodal Attention and Knowledge Base Comparison
摘要
Abstract
With the development of artificial intelligence,a large number of intelligent means have been introduced into the bidding business for multi-modal adaptive weighted attention named entity recognition and knowledge base comparison bidding preparation method.As an important process in the bidding business,the accuracy of the preparation results and the efficiency of the preparation rate need to be better guaranteed.The complicated and time-consuming process of document preparation and the occasional errors of manual preparation in traditional bidding document preparation reduce the efficiency of document preparation and even affect the fluency of bidding business.Therefore,a bidding document compilation method based on MMAWA-NER(Multimodal Adaptive Weighted Attention Mechanism-Named Entity Recognition)extraction and knowledge base comparison is proposed.Firstly,the historical bidding documents are divided into modules according to article items in the form of manual analysis.Each module contains fixed terms information and is stored in the structured standard library.In the document preparation stage,standardized documents are generated according to the module content in the standard library,and the preparation personnel fill in the key information afterwards.After the preparation is completed,the key information of the bidding documents to be verified is extracted by MMAWA-NER for comparison with the domain knowledge base,and the evaluation result is returned to the preparation personnel.Finally,we use the knowledge base data after the historical bidding documents processing to generate a new bidding documents data set for evaluation,and compare the methods of other models.The experiment proves that the proposed model achieves 80％compilation efficiency and 20％accuracy improvement.关键词
招标文件/智能编制/知识库/命名实体识别/结构化Key words
bidding documents/intelligent compiling/knowledge base/named entity recognition/structured分类
计算机与自动化引用本文复制引用
侯继辉,吴小忠,郑浩,夏卓群,唐海东,王欣..基于模态注意力与知识库比对的招标文件编制方法[J].计算机技术与发展,2025,35(5):36-44,9.基金项目
湖南省自然科学基金资助项目(2023JJ30052) （2023JJ30052）
