Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

Recommender systems exploit interaction history to estimate user preference, having been
heavily used in a wide range of industry applications. However, static recommendation …

In this paper, we propose a variety of Long Short-Term Memory (LSTM) based models for
sequence tagging. These models include LSTM networks, bidirectional LSTM (BI-LSTM) …