Word Graph Network:Understanding Obscure Sentences on Social Media for Violation Comment Detection
Violation comment detection aims to recognize the texts that may violate the governing laws/regulations and cause adverse effect on social media.To avoid being intercepted,violation comments always informal and incomplete in an obscure expression poses challenge to vio-lation detection algorithms.To tackle the problem,we introduce a new language representation model namely Word Graph Network(WGN).By introducing word graph,WGN integrates more syntactic structure information thus is qualified with stronger association and completion capability on detecting informal and incomplete violation comments in social networking scenarios.Our experimental results show that WGN outperforms than the existing state-of-the-art models and even performs best in simulation of real online environment.
Word Graph Network Social media Violation comment detection
Dan Ma Haidong Liu Dawei Song
Beijing Institute of Technology,Beijing,China Bigo Technology,Beijing,China
国际会议
9th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2020)
郑州
英文
738-750
2020-10-14（万方平台首次上网日期，不代表论文的发表时间）