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Out-of-domain Detection for Natural Language Understanding in Dialog
  Systems

Out-of-domain Detection for Natural Language Understanding in Dialog Systems

9 September 2019
Yinhe Zheng
Guanyi Chen
Minlie Huang
ArXivPDFHTML

Papers citing "Out-of-domain Detection for Natural Language Understanding in Dialog Systems"

27 / 27 papers shown
Title
LLM Internal States Reveal Hallucination Risk Faced With a Query
LLM Internal States Reveal Hallucination Risk Faced With a Query
Ziwei Ji
Delong Chen
Etsuko Ishii
Samuel Cahyawijaya
Yejin Bang
Bryan Wilie
Pascale Fung
HILM
LRM
39
20
0
03 Jul 2024
CantTalkAboutThis: Aligning Language Models to Stay on Topic in
  Dialogues
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues
Makesh Narsimhan Sreedhar
Traian Rebedea
Shaona Ghosh
Jiaqi Zeng
Christopher Parisien
ALM
35
4
0
04 Apr 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A
  Cross-Field Perspective
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective
Jeng-Lin Li
Chih-Fan Hsu
Ming-Ching Chang
Wei-Chao Chen
OOD
44
2
0
20 Feb 2024
Managing the unknown: a survey on Open Set Recognition and tangential
  areas
Managing the unknown: a survey on Open Set Recognition and tangential areas
Marcos Barcina-Blanco
J. Lobo
Pablo Garcia-Bringas
Javier Del Ser
VLM
33
2
0
14 Dec 2023
Open Set Relation Extraction via Unknown-Aware Training
Open Set Relation Extraction via Unknown-Aware Training
Jun Zhao
Xin Zhao
Wenyu Zhan
Qi Zhang
Tao Gui
Zhongyu Wei
Yunwen Chen
Xiang Gao
Xuanjing Huang
30
1
0
08 Jun 2023
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Yangqiu Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
37
2
0
23 May 2023
Delving into Out-of-Distribution Detection with Vision-Language
  Representations
Delving into Out-of-Distribution Detection with Vision-Language Representations
Yifei Ming
Ziyan Cai
Jiuxiang Gu
Yiyou Sun
W. Li
Yixuan Li
VLM
OODD
52
157
0
24 Nov 2022
GLUE-X: Evaluating Natural Language Understanding Models from an
  Out-of-distribution Generalization Perspective
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective
Linyi Yang
Shuibai Zhang
Libo Qin
Yafu Li
Yidong Wang
Hanmeng Liu
Jindong Wang
Xingxu Xie
Yue Zhang
ELM
44
79
0
15 Nov 2022
Estimating Soft Labels for Out-of-Domain Intent Detection
Estimating Soft Labels for Out-of-Domain Intent Detection
Hao Lang
Yinhe Zheng
Jian Sun
Feiling Huang
Luo Si
Yongbin Li
37
15
0
10 Nov 2022
DetAIL : A Tool to Automatically Detect and Analyze Drift In Language
DetAIL : A Tool to Automatically Detect and Analyze Drift In Language
Nishtha Madaan
Adithya Manjunatha
Hrithik Nambiar
Aviral Goel
H. Kumar
Diptikalyan Saha
Srikanta J. Bedathur
19
4
0
03 Nov 2022
Enhancing Out-of-Distribution Detection in Natural Language
  Understanding via Implicit Layer Ensemble
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble
Hyunsoo Cho
Choonghyun Park
Jaewoo Kang
Kang Min Yoo
Taeuk Kim
Sang-goo Lee
OODD
30
8
0
20 Oct 2022
UniNL: Aligning Representation Learning with Scoring Function for OOD
  Detection via Unified Neighborhood Learning
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
Yutao Mou
Pei Wang
Keqing He
Yanan Wu
Jingang Wang
Wei Wu
Weiran Xu
16
6
0
19 Oct 2022
Pseudo-OOD training for robust language models
Pseudo-OOD training for robust language models
Dhanasekar Sundararaman
Nikhil Mehta
Lawrence Carin
25
0
0
17 Oct 2022
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification
Yunhua Zhou
Pengyu Wang
Peiju Liu
Yuxin Wang
Xipeng Qiu
23
2
0
13 Oct 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian
  Approximation
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation
Yanan Wu
Zhiyuan Zeng
Keqing He
Yutao Mou
Pei Wang
Weiran Xu
40
8
0
14 Sep 2022
Generalized Intent Discovery: Learning from Open World Dialogue System
Generalized Intent Discovery: Learning from Open World Dialogue System
Yutao Mou
Keqing He
Yanan Wu
Pei Wang
Jingang Wang
Wei Wu
Y. Huang
Junlan Feng
Weiran Xu
37
8
0
13 Sep 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via
  Distance-Awareness
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
J. Liu
Shreyas Padhy
Jie Jessie Ren
Zi Lin
Yeming Wen
Ghassen Jerfel
Zachary Nado
Jasper Snoek
Dustin Tran
Balaji Lakshminarayanan
UQCV
BDL
26
48
0
01 May 2022
Driving Anomaly Detection Using Conditional Generative Adversarial
  Network
Driving Anomaly Detection Using Conditional Generative Adversarial Network
Yuning Qiu
Teruhisa Misu
Carlos Busso
27
4
0
15 Mar 2022
On Language Models for Creoles
On Language Models for Creoles
Heather Lent
Emanuele Bugliarello
Miryam de Lhoneux
Chen Qiu
Anders Søgaard
39
20
0
13 Sep 2021
GOLD: Improving Out-of-Scope Detection in Dialogues using Data
  Augmentation
GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation
Derek Chen
Zhou Yu
27
31
0
07 Sep 2021
NoiER: An Approach for Training more Reliable Fine-TunedDownstream Task
  Models
NoiER: An Approach for Training more Reliable Fine-TunedDownstream Task Models
Myeongjun Jang
Thomas Lukasiewicz
24
4
0
29 Aug 2021
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization
  for Out-of-Domain Detection
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
Iftitahu Ni'mah
Meng Fang
Vlado Menkovski
Mykola Pechenizkiy
32
5
0
27 Aug 2021
Uncertainty-Aware Reliable Text Classification
Uncertainty-Aware Reliable Text Classification
Yibo Hu
Latifur Khan
EDL
UQCV
33
33
0
15 Jul 2021
Enhancing the Generalization for Intent Classification and Out-of-Domain
  Detection in SLU
Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU
Yilin Shen
Yen-Chang Hsu
Avik Ray
Hongxia Jin
19
36
0
28 Jun 2021
OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation
OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation
Petro Marek
V. Naik
Vincent Auvray
Anuj Kumar Goyal
25
32
0
06 Apr 2021
Simple and Principled Uncertainty Estimation with Deterministic Deep
  Learning via Distance Awareness
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCV
BDL
37
437
0
17 Jun 2020
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
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