Jun 8, 2020 · In this paper, we develop a novel framework, namely Semantic Gated Network (SGN), to integrate the news title, tags and visual illustrations to ...

Jun 11, 2020 · ABSTRACT. Learning an efficient news representation is a fundamental yet important problem for many tasks. Most existing news-relevant.

Meaning is associated with a particular path through a network by embedding semantic tags at appropriate points in its defini-tion. The understanding ... [Show ...

Oct 3, 2020 · In this paper, we propose a novel graph-based neural network model named SemSeq4FD for early fake news detection based on enhanced text ...

Jun 15, 2021 · Finally, in terms of inference learning, we propose a series of novel deep learning architectures that improve inference by using syntactic ...

May 9, 2016 · This paper presents a study where semantic frames are used to mine financial news so as to quantify the impact of news on the stock market.

May 3, 2023 · Inspired by the self-attention mechanism, we propose a semantic enhancement module with channel-spatial attention to generate global semantic ...

A gated network architecture is proposed for adaptive information propagation among feature maps with different level. With this architecture, convolution ...

A deep neural network is proposed that learns character-level representation of words and associate them with usual word representations to perform POS ...

Apr 5, 2024 · Their design facilitates the representation, processing, and retrieval of knowledge in an interconnected and intuitive manner. To fully ...