融合N-Gram的水产养殖长文本实体关系联合抽取

打开文本图片集

关键词：水产养殖；长文本；实体关系联合抽取;N-Gram算法；多模型融合算法DOI：10. 15938/j. jhust. 2025. 02. 010中图分类号：TP391.1;S951.2 文献标志码：A 文章编号：1007-2683（2025）02-0091-13

Abstract：Tosolvetheproblemofmisjudgmentandlossofvalidinformationcausedbyalargeamountof irelevantinformationin aquaculturelongtext，ajointextractionmethodofentityrelationsbasedonN-Gramfusionwasproposed.Firstly，themulti-model fusionalgorithmisused toextract thetextmatrixfeaturemapbasedonBERTiitialization，andthenthecascadingBiLSTMisusedto extractedepfeatures.Afterthat，thefeaturesofthelongtextslcematrixpreprocessedbyfusionN-Gramalgorithmareeracted layerbylayer，andtherelativeandabsolutepositionsofslicematrixaremodeled.Theexperimentalresultsontheself-constructed aquaculturelong textdatasetandSKE publicdataset show significant improvementscompared withthe benchmark model.The experimentalresultsshowthatthismethodcanfullacquireandprocessthesemanticinformation inaquaculturelongtext，and effectively improve the accuracy and integrity of entity relation extraction.

Keywords：aquaculture；long text;joint extractionof entityrelations；N-Gram algorithm；multi-model fusion algorithm

0 引言

随着我国经济的高速发展，各行各业都在向智慧化方向转型[1-3]，水产养殖业也在向精准化和集约化的养殖方式转变。（剩余18864字）