TY - GEN
T1 - Social media text generation based on neural network model
AU - Cao, Jiarun
AU - Wang, Chongwen
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/12/8
Y1 - 2018/12/8
N2 - The social media text is increasing rapidly in recent years. With this background, natural language generation technology is mature enough for implementing an NLG system in some general field, but the circumstance is difficult in the social media field because of the linguistic arbitrariness. This paper presents a neural network model building a social media NLG system. Compared with state-of-art model, our system outperforms the existing NLG system in the social media field.
AB - The social media text is increasing rapidly in recent years. With this background, natural language generation technology is mature enough for implementing an NLG system in some general field, but the circumstance is difficult in the social media field because of the linguistic arbitrariness. This paper presents a neural network model building a social media NLG system. Compared with state-of-art model, our system outperforms the existing NLG system in the social media field.
KW - Natural Language Generation
KW - Neural Network Model
KW - Social Media application
UR - https://www.scopus.com/pages/publications/85062797656
U2 - 10.1145/3297156.3297206
DO - 10.1145/3297156.3297206
M3 - Conference contribution
AN - SCOPUS:85062797656
T3 - ACM International Conference Proceeding Series
SP - 58
EP - 61
BT - Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, CSAI 2018 - 2018 the 10th International Conference on Information and Multimedia Technology, ICIMT 2018
PB - Association for Computing Machinery
T2 - 2nd International Conference on Computer Science and Artificial Intelligence, CSAI 2018
Y2 - 8 December 2018 through 10 December 2018
ER -