Sep 27, 2019 · We propose a two-channel CNN-GRU fusion network. First, a convolution layer with two filters with different window sizes is used to extract local features.

In order to address these problems, we propose a two-channel CNN-GRU fusion network. First, a convolution layer with two filters with different window sizes is ...

Oct 18, 2019 · To address these problems, this paper proposes a two-channel. CNN-GRU fusion network, which combines multiple CNNs that contain filters of ...

Stance Detection of Microblog Text Based on Two-Channel CNN-GRU Fusion Network. Li, Wenfa; ;; Xu, Yilong; ;; Wang, Gongming. Abstract. Publication: IEEE Access.

Sep 27, 2019 · This study presents an automatic method to identify hate messages on OSNs and introduces an attentional multi-channel convolutional-BiLSTM network for the ...

By considering stance detection as a sentence pair classification task and using ParsBERT, we achieve higher accuracy in classifying the stance of Persian texts ...

Mar 30, 2022 · The time and space complexity of Text CNN are both small, which enables fast model training and prediction in the task of position detection.

Jan 28, 2023 · In this study, we review the different techniques proposed in the literature for stance detection as well as other applications such as rumor veracity ...

This paper compares feature-based and Neural Network-based approaches on the supervised stance classification task for tweets in SemEval-2016 Task 6 Subtask ...

[50] W. Li, Y. Xu, and G. Wang, “Stance detection of microblog text based on two-channel CNN-GRU fusion network,”. IEEE Access, vol. 7, pp. 145944–145952, 2019.