TY - JOUR
KW - BERT
KW - Digital humanities
KW - Entity Recognition
KW - Intangible cultural heritage
KW - Term Extraction
AU - L. Liu
AU - T. Qin
AU - D. Wang
AB - [Objective] Focus on the task of entity recognition of traditional music terms of intangible cultural heritage. [Methods] This research constructed a corpus of national intangible cultural heritage projects based on the China Intangible Cultural Heritage Network, and built an entity recognition framework on traditional music terms based on the CRF, LSTM, LSTM-CRF, and BERT. [Results] According to the performance comparison, the BERT model for recognition of traditional music terms had achieved a better result, with an average F1 value of 91.77\%. [Limitations] This study only extract unique terms, and the training set is small. [Conclusions] The entity recognition model constructed by BERT is a valid model for automatically extracting traditional musical terms of intangible cultural heritage. It can provide a reliable reference for the related research of intangible cultural heritage.
BT - Data Analysis and Knowledge Discovery
DO - 10.11925/infotech.2096-3467.2020.0400
LA - Chinese
M1 - 12
N1 - Publisher: Chinese Academy of Sciences
N2 - [Objective] Focus on the task of entity recognition of traditional music terms of intangible cultural heritage. [Methods] This research constructed a corpus of national intangible cultural heritage projects based on the China Intangible Cultural Heritage Network, and built an entity recognition framework on traditional music terms based on the CRF, LSTM, LSTM-CRF, and BERT. [Results] According to the performance comparison, the BERT model for recognition of traditional music terms had achieved a better result, with an average F1 value of 91.77\%. [Limitations] This study only extract unique terms, and the training set is small. [Conclusions] The entity recognition model constructed by BERT is a valid model for automatically extracting traditional musical terms of intangible cultural heritage. It can provide a reliable reference for the related research of intangible cultural heritage.
PY - 2020
SP - 68
EP - 75
T2 - Data Analysis and Knowledge Discovery
TI - Automatic extraction of traditional music terms of intangible cultural heritage
VL - 4
SN - 20963467 (ISSN)
ER -