Ddgcn: Dual dynamic graph convolutional networks for rumor detection on social media
Detecting rumors on social media has become particular important due to the rapid
dissemination and adverse impacts on our lives. Though a set of rumor detection models …
dissemination and adverse impacts on our lives. Though a set of rumor detection models …
Efficient one-pass end-to-end entity linking for questions
We present ELQ, a fast end-to-end entity linking model for questions, which uses a
biencoder to jointly perform mention detection and linking in one pass. Evaluated on …
biencoder to jointly perform mention detection and linking in one pass. Evaluated on …
Fake news detection via knowledge-driven multimodal graph convolutional networks
Nowadays, with the rapid development of social media, there is a great deal of news
produced every day. How to detect fake news automatically from a large of multimedia posts …
produced every day. How to detect fake news automatically from a large of multimedia posts …
Kan: Knowledge-aware attention network for fake news detection
Y Dun, K Tu, C Chen, C Hou, X Yuan - Proceedings of the AAAI …, 2021 - ojs.aaai.org
The explosive growth of fake news on social media has drawn great concern both from
industrial and academic communities. There has been an increasing demand for fake news …
industrial and academic communities. There has been an increasing demand for fake news …
Multi-modal knowledge-aware event memory network for social media rumor detection
The wide dissemination and misleading effects of online rumors on social media have
become a critical issue concerning the public and government. Detecting and regulating …
become a critical issue concerning the public and government. Detecting and regulating …
Deep short text classification with knowledge powered attention
Short text classification is one of important tasks in Natural Language Processing (NLP).
Unlike paragraphs or documents, short texts are more ambiguous since they have not …
Unlike paragraphs or documents, short texts are more ambiguous since they have not …
Knowledge-aware multi-modal adaptive graph convolutional networks for fake news detection
In this article, we focus on fake news detection task and aim to automatically identify the fake
news from vast amount of social media posts. To date, many approaches have been …
news from vast amount of social media posts. To date, many approaches have been …
Inconsistent matters: A knowledge-guided dual-consistency network for multi-modal rumor detection
Rumor spreaders are increasingly utilizing multimedia content to attract the attention and
trust of news consumers. Though quite a few rumor detection models have exploited the …
trust of news consumers. Though quite a few rumor detection models have exploited the …
Alicg: Fine-grained and evolvable conceptual graph construction for semantic search at alibaba
Conceptual graphs, which is a particular type of Knowledge Graphs, play an essential role in
semantic search. Prior conceptual graph construction approaches typically extract high …
semantic search. Prior conceptual graph construction approaches typically extract high …
Combating multimodal fake news on social media: methods, datasets, and future perspective
The growth in the use of social media platforms such as Facebook and Twitter over the past
decade has significantly facilitated and improved the way people communicate with each …
decade has significantly facilitated and improved the way people communicate with each …