Incorporate opinion-towards for stance detection-Reference-Cited by-同舟云学术

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Incorporate opinion-towards for stance detection

Published:2022-06 Issue: Volume:246 Page:108657
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Fu Yujie,Li Xiaoli,Li Yang,Wang Suge,Li Deyu,Liao Jian,Zheng Jianxing

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference42 articles.

1. Y. Li, C. Caragea, Multi-task stance detection with sentiment and stance lexicons, in: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019, pp. 6299–6305.

2. P. Wei, W. Mao, D. Zeng, A target-guided neural memory model for stance detection in Twitter, in: Proceedings of the 2018 International Joint Conference on Neural Networks, 2018, pp. 2068–2075.

3. S. Mohammad, S. Kiritchenko, P. Sobhani, X. Zhu, C. Cherry, SemEval-2016 task 6: Detecting stance in tweets, in: Proceedings of the 10th International Workshop on Semantic Evaluation, 2016, pp. 31–41.

4. Stance and sentiment in tweets;Mohammad;ACM Trans. Internet Technol.,2017

5. Multimedia news summarization in search;Li;ACM Trans. Intell. Syst. Technol. (TIST),2016

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