LEARNING TO ORGANIZE KNOWLEDGE WITH N-GRAM MACHINES

no code implementations • ICLR 2018 • Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao

Existing end-to-end deep QA models (Miller et al., 2016; Weston et al., 2014) need to read the entire text after observing the question, and therefore their complexity in responding a question is linear in the text size.

Language Modelling Machine Translation +1

Learning to Organize Knowledge and Answer Questions with N-Gram Machines

no code implementations • 17 Nov 2017 • Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao

Though deep neural networks have great success in natural language processing, they are limited at more knowledge intensive AI tasks, such as open-domain Question Answering (QA).

Open-Domain Question Answering

On-line PCA with Optimal Regrets

no code implementations • 17 Jun 2013 • Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth

Furthermore, we show that when considering regret bounds as function of a loss budget, EG remains optimal and strictly outperforms GD.