Neural sentence embedding using only in-domain sentences for out-of-domain sentence detection in dialog systems
Authors:
- Seonghan RyuSRSeonghan Ryu
- Seokhwan KimSKSeokhwan Kim
- Junhwi ChoiJCJunhwi Choi
- Hwanjo YuHYHwanjo Yu
- Gary Geunbae LeeGLGary Geunbae Lee
- 1 March 2017
- journal article
- Published by Elsevier in Pattern Recognition Letters
- Vol. 88, 26-32
Abstract
No abstract availableAll Related Versions
This publication has 11 references indexed in Scilit:
- Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM2016
- Unsupervised Spoken Language Understanding for a Multi-Domain Dialog SystemIEEE Transactions on Audio, Speech, and Language Processing, 2013
- A Survey on Transfer LearningIEEE Transactions on Knowledge and Data Engineering, 2009
- One-class document classification via Neural NetworksNeurocomputing, 2007
- Out-of-Domain Utterance Detection Using Classification Confidences of Multiple TopicsIEEE Transactions on Audio, Speech, and Language Processing, 2007
- Framewise phoneme classification with bidirectional LSTM and other neural network architecturesNeural Networks, 2005
- Estimating the Support of a High-Dimensional DistributionNeural Computation, 2001
- Learning to Forget: Continual Prediction with LSTMNeural Computation, 2000
- Bidirectional recurrent neural networksIEEE Transactions on Signal Processing, 1997
- Long Short-Term MemoryNeural Computation, 1997