高质量文本数据驱动的命名实体识别加速镍基单晶高温合金材料知识发现

刘悦, 姚文轩, 刘大晖, 丁琳, 杨正伟, 刘微, 于涛, 施思齐

Named Entity Recognition Driven by High-Quality Text Data Accelerates the Knowledge Discovery of Nickel-Based Single Crystal Superalloys

LIU Yue, YAO Wenxuan, LIU Dahui, DING Lin, YANG Zhengwei, LIU Wei, YU Tao, SHI Siqi

图1 基于语义特征融合的深度学习命名实体识别(SF-NER)方法的镍基单晶高温合金文献挖掘及应用流程图

Fig.1 Diagram for literature mining and field application of nickel-based single crystal superalloys using the SF-NER (BPE—byte-pair encoding, NER—named entity recognition, ML—machine learning, CRF—conditional random field, B—the beginning of an entity (Begin), I—the inside of an entity (Inside), O—outside of an entity (Outside))