Linqing Liu

Detecting "Smart" Spammers on Social Network: A Topic Model Approach

2016

Spammer detection on social network is a challenging problem. The rigid anti-spam rules have resulted in emergence of "smart" spammers. They resemble legitimate users who are difficult to identify. In this paper, we present a …

Distilling Task-Specific Knowledge from BERT into Simple Neural Networks

2019 · arXiv (Cornell University)

In the natural language processing literature, neural networks are becoming increasingly deeper and complex. The recent poster child of this trend is the deep language representation model, which includes BERT, ELMo, and GPT. These developments …

Generative Adversarial Network for Abstractive Text Summarization

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

In this paper, we propose an adversarial process for abstractive text summarization, in which we simultaneously train a generative model G and a discriminative model D. In particular, we build the generator G as an …