Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling

6 Sep 2016Bing LiuIan Lane

Attention-based encoder-decoder neural network models have recently shown promising results in machine translation and speech recognition. In this work, we propose an attention-based neural network model for joint intent detection and slot filling, both of which are critical steps for many speech understanding and dialog systems... (read more)

PDF Abstract

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help community compare results to other papers.