35 citations · 98 across the 17 of their papers we have counts for
5 papers · 1 filter
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
Yu Wang, Yilin Shen, Hongxia Jin
Intent detection and slot filling are two main tasks for building a spoken language understanding(SLU) system. Multiple deep learning based models have demonstrated good results on…
A Variational Dirichlet Framework for Out-of-Distribution Detection
Wenhu Chen, Yilin Shen, Hongxia Jin +1
With the recently rapid development in deep learning, deep neural networks have been widely adopted in many real-life applications. However, deep neural networks are also known to…
User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks
Yilin Shen, Xiangyu Zeng, Yu Wang +1
Semantic frame parsing is a crucial component in spoken language understanding (SLU) to build spoken dialog systems. It has two main tasks: intent detection and slot filling. Altho…
Robust Spoken Language Understanding via Paraphrasing
Avik Ray, Yilin Shen, Hongxia Jin
Learning intents and slot labels from user utterances is a fundamental step in all spoken language understanding (SLU) and dialog systems. State-of-the-art neural network based met…
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart +3
Humans are able to understand and perform complex tasks by strategically structuring the tasks into incremental steps or subgoals. For a robot attempting to learn to perform a sequ…