Opera-oriented character relations extraction for role interaction and behaviour Understanding: a deep learning approach-Reference-Cited by-同舟云学术

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Opera-oriented character relations extraction for role interaction and behaviour Understanding: a deep learning approach

Published:2019-02-22 Issue:9 Volume:38 Page:900-912
ISSN:0144-929X
Container-title:Behaviour & Information Technology
language:en
Short-container-title:Behaviour & Information Technology

Author:

Dai Xinnan¹,Zhao Xujian¹,Jin Peiquan²,Cai Xuebo³,Zhang Hui⁴,Yang Chunming¹,Li Bo¹

Affiliation:

1. School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, People’s Republic of China

2. School of Computer Science and Technology, University of Science and Technology of China, Hefei, People’s Republic of China

3. School of Music and Dance, Sichuan University of Culture and Arts, Mianyang, People’s Republic of China

4. School of Science, Southwest University of Science and Technology, Mianyang, People’s Republic of China

Funder

Ministry of Education

CERNET Innovation Project

National Science Foundation of China

Humanities and Social Sciences Foundation

Publisher

Informa UK Limited

Subject

Human-Computer Interaction,General Social Sciences,Arts and Humanities (miscellaneous),Developmental and Educational Psychology

Link

https://www.tandfonline.com/doi/pdf/10.1080/0144929X.2019.1584246

Reference5 articles.

1. Feature assembly method for extracting relations in Chinese

2. Support-vector networks

3. A Primer on Neural Network Models for Natural Language Processing

4. An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition

5. Research on Tree Kernel-Based Personal Relation Extraction

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