The quality of automatic speech recognition (ASR) is critical to Dialogu...
This work presents an exploration and imitation-learning-based agent cap...
As the field of Spoken Dialogue Systems and Conversational AI grows, so ...
Encoder-decoder based neural architectures serve as the basis of
state-o...
Current approaches to Natural Language Generation (NLG) focus on
domain-...
Building open domain conversational systems that allow users to have eng...
As open-ended human-chatbot interaction becomes commonplace, sensitive
c...
Accurate prediction of conversation topics can be a valuable signal for
...
Sequence to sequence (Seq2Seq) learning has recently been used for
abstr...
Statistical language models (LM) play a key role in Automatic Speech
Rec...
Statistical language models (LM) play a key role in Automatic Speech
Rec...
In current study, a mechanism to extract traffic related information suc...
Conversational agents are exploding in popularity. However, much work re...
Dialog evaluation is a challenging problem, especially for non task-orie...
Conversational agents are exploding in popularity. However, much work re...