TY - GEN
T1 - The method of construction knowledge triples under joint extraction of entity relations based on distant supervision
AU - Cheng, Jiamin
AU - Feng, Cong
AU - Dong, Shipeng
AU - Zhao, Yongqiang
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - Aiming at the problems of cascading mistakes and overlap relation problems in the current methods of relation extraction. A joint entity relation extraction method based on Bert is proposed. In this method, Bert and bilstm are adopted, and attention mechanism is introduced to improve the existing HRL model. By replacing the traditional word2vec word vector with Bert, richer semantic information is considered. The attention mechanism is introduced to consider the dependence between words on the basis of bilstm. At last, entity relation is extracted and entity relation triples are output. The experimental result shows that this method can deal with the overlap relation well and improve the result obviously. Experiments on the NYT10 dataset show that the proposed method has higher accuracy and recall rate. Compared with the latest joint extraction method, the P, R, and F1 values are increased by 5.2%, 4.6%, and 4.86%.
AB - Aiming at the problems of cascading mistakes and overlap relation problems in the current methods of relation extraction. A joint entity relation extraction method based on Bert is proposed. In this method, Bert and bilstm are adopted, and attention mechanism is introduced to improve the existing HRL model. By replacing the traditional word2vec word vector with Bert, richer semantic information is considered. The attention mechanism is introduced to consider the dependence between words on the basis of bilstm. At last, entity relation is extracted and entity relation triples are output. The experimental result shows that this method can deal with the overlap relation well and improve the result obviously. Experiments on the NYT10 dataset show that the proposed method has higher accuracy and recall rate. Compared with the latest joint extraction method, the P, R, and F1 values are increased by 5.2%, 4.6%, and 4.86%.
KW - Distant supervision Relation extraction Attention BERT
UR - http://www.scopus.com/inward/record.url?scp=85077115751&partnerID=8YFLogxK
U2 - 10.1109/ICVRIS.2019.00042
DO - 10.1109/ICVRIS.2019.00042
M3 - 会议稿件
AN - SCOPUS:85077115751
T3 - Proceedings - 2019 International Conference on Virtual Reality and Intelligent Systems, ICVRIS 2019
SP - 136
EP - 140
BT - Proceedings - 2019 International Conference on Virtual Reality and Intelligent Systems, ICVRIS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Virtual Reality and Intelligent Systems, ICVRIS 2019
Y2 - 14 September 2019 through 15 September 2019
ER -