Notes and reviews on NLP, conversational AI, optimization, summarization, and generative models.
Generative Adversarial Network (GAN) is a class of generative models. Basically generative models aim to model the underlying distribution of some data. Some models have the specific density function for the data dist...
Task-oriented dialog agents are designed for a particular task and set up to have short conversations to get information from the user to help complete the task. Apple Siri and Google Assistant are common examples. Th...
Automatic text summarization is the task of producing a concise and fluent summary while preserving key information content and overall meaning. With the explosion of Internet, people are overwhelmed by the amount of ...
This paper is published on AAAI 2018. This authors couple symbolic and sub-symbolic AI to automatically discover conceptual primitives from text and link them to commonsense concepts and named entities in a new three-...
The paper On the Convergence of Adam and Beyond was awarded as the best paper on ICLR 2018. The authors empirically observed that several popular gradient based stochastic optimization algorithms such as Adam (Kingma ...