276 citations · 2k across the 138 of their papers we have counts for
8 papers · 1 filter
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…
Video Captioning via Hierarchical Reinforcement Learning
Xin Wang, Wenhu Chen, Jiawei Wu +2
Video captioning is the task of automatically generating a textual description of the actions in a video. Although previous work (e.g. sequence-to-sequence model) has shown promisi…
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…