82 citations · 486 across the 40 of their papers we have counts for
4 papers · 1 filter
Deep Reinforcement Learning with a Natural Language Action Space
Ji He, Jianshu Chen, Xiaodong He +4
This paper introduces a novel architecture for reinforcement learning with deep neural networks designed to handle state and action spaces characterized by natural language, as fou…
Talking to the crowd: What do people react to in online discussions?
Aaron Jaech, Victoria Zayats, Hao Fang +2
This paper addresses the question of how language use affects community reaction to comments in online discussion forums, and the relative importance of the message vs. the messeng…
What Your Username Says About You
Aaron Jaech, Mari Ostendorf
Usernames are ubiquitous on the Internet, and they are often suggestive of user demographics. This work looks at the degree to which gender and language can be inferred from a user…
Leveraging Twitter for Low-Resource Conversational Speech Language Modeling
Aaron Jaech, Mari Ostendorf
In applications involving conversational speech, data sparsity is a limiting factor in building a better language model. We propose a simple, language-independent method to quickly…