01179nas a2200145   4500000000100000008004100001100001300042700001500055700001400070700001700084245009800101300001200199520078100211020004100992                                       d1 aWei Zhou1 aHongjie Li1 aJing Yang1 aJinghao Fang00aNamed Entity Recognition of Chinese Intangible Cultural Names Based on Part-of-Speech Tagging  a135-1413 aBy observing many intangible cultural heritage names, it is found that although the frequency of occurrence of these names is relatively low, they are often composed of multiple high-frequency words. Further analysis of the parts-of-speech distribution of these high-frequency words shows that there is a certain regularity. Consequently, a named entity recognition model based on POS tagging was presented in this study. By including the POS into the word vector, the word vector s information was increased and the name recognition accuracy for intangible cultural assets was enhanced. Compared with BERT-BiLSTM-CRF, the F1 score of the proposed model in the name recognition task of intangible cultural heritage items is increased from 0.854 to 0.933, an increase of 0.079.  a979-8-3315-2891-1; 979-8-3315-2892-8