Joint Extraction of Chinese Entity Relations Based on Graph Convolutional Neural Network

The existing methods for extracting entity relations usually ignore the complex structural features of Chinese sentences.To address the problem, a Graph Convolutional neural Network(GCN)-based method is proposed for joint extraction of Chinese entity relations.Based on the sequence features extracte...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijä: ZHANG Junlian, ZHANG Yifan, WANG Mingquan, HUANG Yongjian
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Editorial Office of Computer Engineering 2021-12-01
Sarja:Jisuanji gongcheng
Aiheet:
information extraction|relation extraction|joint extraction|graph convolutional neural network(gcn)|dependency analysis
Linkit:https://www.ecice06.com/fileup/1000-3428/PDF/20211212.pdf
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia