Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems
Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding
Detecting Actionable Items in Meetings by Convolutional Deep Structured Semantic Models
End-to-End Joint Learning of Natural Language Understanding and Dialogue Manager
Language Empowering Intelligent Assistants (CHT)
Leveraging Behavioral Patterns of Mobile Applications for Personalized Spoken Language Understanding
Automatic Key Term Extraction from Spoken Course Lectures
End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Language Understanding
An Intelligent Assistant for High-Level Task Understanding
