Structure Function Recognition of Scientific Research Project Application Based on Multi-Stage Classification
The research project applications contain rich scientific knowledge and are widely used as the basic data for scientific and technological information analyses.Some information analyses such as duplicate detection and analysis mining need to be carried out on the premise of clarifying the structure function of the applications.Therefore,this paper proposes a research project application structure function recognition model based on multi-stage classification.Firstly,the research project applications should be preprocessed,including identifying the main content and multimodal elements of the applications,and standardizing the text paragraphs.Afterwards,based on the BiLSTM-Attention model,the chapter titles and their text are distinguished,and the primary structure function is recognized based on the titles.Furtherly,the fine-grained structure function of the application is identified.The experiment shows that the precision and recall rate of the model reach 93.7%and 93.1%.The model can support the structured analysis of scientific research project applications and provide references for the structure function recognition of other types of academic texts.
Scientific Research Project ApplicationStructure Function RecognitionMulti-Stage ClassificationBiLSTM-Attention
国家科技期刊平台
NSTL
万方数据
