276 citations · 2k across the 138 of their papers we have counts for
7 papers · 2 filters
TFW, DamnGina, Juvie, and Hotsie-Totsie: On the Linguistic and Social Aspects of Internet Slang
Vivek Kulkarni, William Yang Wang
Slang is ubiquitous on the Internet. The emergence of new social contexts like micro-blogs, question-answering forums, and social networks has enabled slang and non-standard expres…
MojiTalk: Generating Emotional Responses at Scale
Xianda Zhou, William Yang Wang
Generating emotional language is a key step towards building empathetic natural language processing agents. However, a major challenge for this line of research is the lack of larg…
KBGAN: Adversarial Learning for Knowledge Graph Embeddings
Liwei Cai, William Yang Wang
We introduce KBGAN, an adversarial learning framework to improve the performances of a wide range of existing knowledge graph embedding models. Because knowledge graphs typically o…
Learning to Explain Non-Standard English Words and Phrases
Ke Ni, William Yang Wang
We describe a data-driven approach for automatically explaining new, non-standard English expressions in a given sentence, building on a large dataset that includes 15 years of cro…
Deep Residual Learning for Weakly-Supervised Relation Extraction
Yi Yao Huang, William Yang Wang
Deep residual learning (ResNet) is a new method for training very deep neural networks using identity map-ping for shortcut connections. ResNet has won the ImageNet ILSVRC 2015 cla…
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
Wenhan Xiong, Thien Hoang, William Yang Wang
We study the problem of learning to reason in large scale knowledge graphs (KGs). More specifically, we describe a novel reinforcement learning framework for learning multi-hop rel…
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
William Yang Wang
Automatic fake news detection is a challenging problem in deception detection, and it has tremendous real-world political and social impacts. However, statistical approaches to com…