Search Results for author:
Found 7 papers, 0 papers with code
RAUCG: Retrieval-Augmented Unsupervised Counter Narrative Generation for Hate Speech
To address these limitations, we propose Retrieval-Augmented Unsupervised Counter Narrative Generation (RAUCG) to automatically expand external counter-knowledge and map it into CNs in an unsupervised paradigm.
Multimodal Short Video Rumor Detection System Based on Contrastive Learning
With the rise of short video platforms as prominent channels for news dissemination, major platforms in China have gradually evolved into fertile grounds for the proliferation of fake news.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
ClueGraphSum: Let Key Clues Guide the Cross-Lingual Abstractive Summarization
Therefore, we first propose a clue-guided cross-lingual abstractive summarization method to improve the quality of cross-lingual summaries, and then construct a novel hand-written CLS dataset for evaluation.
Abstractive Text Summarization
Cross-Lingual Abstractive Summarization
+1
Detecting Offensive Language on Social Networks: An End-to-end Detection Method based on Graph Attention Networks
In this paper, we propose an end-to-end method based on community structure and text features for offensive language detection (CT-OLD).
An End-to-End Attack on Text-based CAPTCHAs Based on Cycle-Consistent Generative Adversarial Network
Firstly, we train CAPTCHA synthesizers based on the cycle-GAN to generate some fake samples.
A Multitask Deep Learning Approach for User Depression Detection on Sina Weibo
In recent years, due to the mental burden of depression, the number of people who endanger their lives has been increasing rapidly.
Using Deep Learning to Solve Computer Security Challenges: A Survey
Although using machine learning techniques to solve computer security challenges is not a new idea, the rapidly emerging Deep Learning technology has recently triggered a substantial amount of interests in the computer security community.
Cryptography and Security
