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An Evaluation Dataset for Intent Classification and Out-of-Scope
  Prediction

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

4 September 2019
Stefan Larson
Anish Mahendran
Joseph Peper
Christopher Clarke
Andrew Lee
Parker Hill
Jonathan K. Kummerfeld
Kevin Leach
M. Laurenzano
Lingjia Tang
Jason Mars
ArXivPDFHTML

Papers citing "An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction"

50 / 290 papers shown
Title
RoNID: New Intent Discovery with Generated-Reliable Labels and
  Cluster-friendly Representations
RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations
Shun Zhang
Chaoran Yan
Jian Yang
Changyu Ren
Jiaqi Bai
Tongliang Li
Zhoujun Li
44
1
0
13 Apr 2024
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
Andi Zhang
Tim Z. Xiao
Weiyang Liu
Robert Bamler
Damon J. Wischik
OODD
53
4
0
07 Apr 2024
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented
  Dialogue Representations
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations
Weihao Zeng
Dayuan Fu
Keqing He
Yejie Wang
Yukai Xu
Weiran Xu
51
2
0
31 Mar 2024
Jamba: A Hybrid Transformer-Mamba Language Model
Jamba: A Hybrid Transformer-Mamba Language Model
Opher Lieber
Barak Lenz
Hofit Bata
Gal Cohen
Jhonathan Osin
...
Nir Ratner
N. Rozen
Erez Shwartz
Mor Zusman
Y. Shoham
39
208
0
28 Mar 2024
Conformal Intent Classification and Clarification for Fast and Accurate
  Intent Recognition
Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition
Floris den Hengst
Ralf Wolter
Patrick Altmeyer
Arda Kaygan
28
2
0
27 Mar 2024
BlendX: Complex Multi-Intent Detection with Blended Patterns
BlendX: Complex Multi-Intent Detection with Blended Patterns
Yejin Yoon
Jungyeon Lee
Kangsan Kim
Chanhee Park
Taeuk Kim
37
3
0
27 Mar 2024
Domain Adaptation in Intent Classification Systems: A Review
Domain Adaptation in Intent Classification Systems: A Review
Jesse Atuhurra
Hidetaka Kamigaito
Taro Watanabe
Eric Nichols
45
0
0
26 Mar 2024
Naive Bayes-based Context Extension for Large Language Models
Naive Bayes-based Context Extension for Large Language Models
Jianlin Su
Murtadha Ahmed
Wenbo Luo
Abhishek Rao
Denny Zhou
Hyeontaek Lim
42
5
0
26 Mar 2024
New Intent Discovery with Attracting and Dispersing Prototype
New Intent Discovery with Attracting and Dispersing Prototype
Shun Zhang
Jian Yang
Jiaqi Bai
Chaoran Yan
Tongliang Li
Zhao Yan
Zhoujun Li
54
4
0
25 Mar 2024
Visual Analytics for Fine-grained Text Classification Models and
  Datasets
Visual Analytics for Fine-grained Text Classification Models and Datasets
Munkhtulga Battogtokh
Y. Xing
Cosmin Davidescu
Alfie Abdul-Rahman
Michael Luck
Rita Borgo
38
0
0
21 Mar 2024
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent
  Recognition and Out-of-scope Detection in Conversations
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations
Hanlei Zhang
Xin Wang
Hua Xu
Qianrui Zhou
Kai Gao
Jianhua Su
jinyue Zhao
Wenrui Li
Yanting Chen
50
2
0
16 Mar 2024
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent
  Classification
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification
Zhijian Li
Stefan Larson
Kevin Leach
OODD
44
1
0
08 Mar 2024
Can Your Model Tell a Negation from an Implicature? Unravelling
  Challenges With Intent Encoders
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders
Yuwei Zhang
Siffi Singh
Sailik Sengupta
Igor Shalyminov
Hang Su
Hwanjun Song
Saab Mansour
40
2
0
07 Mar 2024
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning
  Diverse Responses
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses
Weihao Zeng
Keqing He
Yejie Wang
Dayuan Fu
Weiran Xu
35
0
0
02 Mar 2024
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent
  Detection
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection
Pei Wang
Keqing He
Yejie Wang
Xiaoshuai Song
Yutao Mou
Jingang Wang
Yunsen Xian
Xunliang Cai
Weiran Xu
39
6
0
27 Feb 2024
Long-Context Language Modeling with Parallel Context Encoding
Long-Context Language Modeling with Parallel Context Encoding
Howard Yen
Tianyu Gao
Danqi Chen
40
43
0
26 Feb 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty
  Quantification Methods
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
Jiaxin Zhang
Kamalika Das
Kumar Sricharan
UQCV
40
0
0
20 Feb 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
56
2
0
20 Feb 2024
Can LLMs Learn New Concepts Incrementally without Forgetting?
Can LLMs Learn New Concepts Incrementally without Forgetting?
Junhao Zheng
Shengjie Qiu
Qianli Ma
CLL
45
0
0
13 Feb 2024
OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue
  System
OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System
Mingtao Yang
See-Kiong Ng
Jinlan Fu
36
1
0
28 Dec 2023
Transfer and Alignment Network for Generalized Category Discovery
Transfer and Alignment Network for Generalized Category Discovery
Wenbin An
Feng Tian
Wenkai Shi
Yan Chen
Y. Wu
Qianying Wang
Ping Chen
38
9
0
27 Dec 2023
Generalized Category Discovery with Large Language Models in the Loop
Generalized Category Discovery with Large Language Models in the Loop
Wenbin An
Wenkai Shi
Feng Tian
Haonan Lin
Qianying Wang
...
Mingxiang Cai
Luyan Wang
Yan Chen
Haiping Zhu
Ping Chen
37
10
0
18 Dec 2023
Bengali Intent Classification with Generative Adversarial BERT
Bengali Intent Classification with Generative Adversarial BERT
Mehedi Hasan
Mohammad Jahid Ibna Basher
Md. Tanvir Rouf Shawon
11
1
0
17 Dec 2023
Learn or Recall? Revisiting Incremental Learning with Pre-trained
  Language Models
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models
Junhao Zheng
Shengjie Qiu
Qianli Ma
29
9
0
13 Dec 2023
CESAR: Automatic Induction of Compositional Instructions for Multi-turn
  Dialogs
CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs
Taha İbrahim Aksu
Devamanyu Hazarika
Shikib Mehri
Seokhwan Kim
Dilek Z. Hakkani-Tür
Yang Liu
Mahdi Namazifar
41
2
0
29 Nov 2023
Take One Step at a Time to Know Incremental Utility of Demonstration: An
  Analysis on Reranking for Few-Shot In-Context Learning
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning
Kazuma Hashimoto
K. Raman
Michael Bendersky
43
2
0
16 Nov 2023
SQATIN: Supervised Instruction Tuning Meets Question Answering for
  Improved Dialogue NLU
SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU
E. Razumovskaia
Goran Glavaš
Anna Korhonen
Ivan Vulić
LRM
32
2
0
16 Nov 2023
Making LLMs Worth Every Penny: Resource-Limited Text Classification in
  Banking
Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking
Lefteris Loukas
Ilias Stogiannidis
Odysseas Diamantopoulos
Prodromos Malakasiotis
Stavros Vassos
22
45
0
10 Nov 2023
A Review and Roadmap of Deep Causal Model from Different Causal
  Structures and Representations
A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations
Hang Chen
Keqing Du
Chenguang Li
Xinyu Yang
54
2
0
02 Nov 2023
Dense Retrieval as Indirect Supervision for Large-space Decision Making
Dense Retrieval as Indirect Supervision for Large-space Decision Making
Nan Xu
Fei Wang
Mingtao Dong
Muhao Chen
RALM
26
4
0
28 Oct 2023
IntenDD: A Unified Contrastive Learning Approach for Intent Detection
  and Discovery
IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery
Bhavuk Singhal
Ashim Gupta
P. ShivasankaranV
Amrith Krishna
32
1
0
25 Oct 2023
A Diffusion Weighted Graph Framework for New Intent Discovery
A Diffusion Weighted Graph Framework for New Intent Discovery
Wenkai Shi
Wenbin An
Feng Tian
Qinghua Zheng
Qianying Wang
Ping Chen
DiffM
42
9
0
24 Oct 2023
Universal Domain Adaptation for Robust Handling of Distributional Shifts
  in NLP
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
Hyuhng Joon Kim
Hyunsoo Cho
Sang-Woo Lee
Junyeob Kim
Choonghyun Park
Sang-goo Lee
Kang Min Yoo
Taeuk Kim
VLM
OOD
53
1
0
23 Oct 2023
Transductive Learning for Textual Few-Shot Classification in API-based
  Embedding Models
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
Pierre Colombo
Victor Pellegrain
Malik Boudiaf
Victor Storchan
Myriam Tami
Ismail Ben Ayed
C´eline Hudelot
Pablo Piantanida
38
8
0
21 Oct 2023
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
Pei Wang
Keqing He
Yutao Mou
Xiaoshuai Song
Yanan Wu
Jingang Wang
Yunsen Xian
Xunliang Cai
Weiran Xu
21
3
0
20 Oct 2023
TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for
  Semi-Supervised Intent Classification
TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification
Nicholas Botzer
David Vasquez
Tim Weninger
I. Laradji
23
0
0
17 Oct 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and
  Open-world Intent Recognition
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
Xiaoshuai Song
Yutao Mou
Keqing He
Yueyan Qiu
Pei Wang
Weiran Xu
29
2
0
16 Oct 2023
Large Language Models Meet Open-World Intent Discovery and Recognition:
  An Evaluation of ChatGPT
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT
Xiaoshuai Song
Keqing He
Pei Wang
Guanting Dong
Yutao Mou
Jingang Wang
Yunsen Xian
Xunliang Cai
Weiran Xu
LRM
47
14
0
16 Oct 2023
DNA: Denoised Neighborhood Aggregation for Fine-grained Category
  Discovery
DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery
Wenbin An
Feng Tian
Wenkai Shi
Yan Chen
Qinghua Zheng
Qianying Wang
Ping Chen
41
5
0
16 Oct 2023
RSVP: Customer Intent Detection via Agent Response Contrastive and
  Generative Pre-Training
RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training
Yu-Chien Tang
Wei-Yao Wang
An-Zi Yen
Wenjie Peng
36
1
0
15 Oct 2023
InstructTODS: Large Language Models for End-to-End Task-Oriented
  Dialogue Systems
InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems
Willy Chung
Samuel Cahyawijaya
Bryan Wilie
Holy Lovenia
Pascale Fung
32
5
0
13 Oct 2023
SNOiC: Soft Labeling and Noisy Mixup based Open Intent Classification
  Model
SNOiC: Soft Labeling and Noisy Mixup based Open Intent Classification Model
Aditi Kanwar
A. Seetha
S. Chouhan
R. Niyogi
27
0
0
11 Oct 2023
Improving End-to-End Speech Processing by Efficient Text Data
  Utilization with Latent Synthesis
Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis
Jianqiao Lu
Wenyong Huang
Nianzu Zheng
Xingshan Zeng
Y. Yeung
Xiao Chen
SyDa
34
1
0
09 Oct 2023
FLatS: Principled Out-of-Distribution Detection with Feature-Based
  Likelihood Ratio Score
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score
Haowei Lin
Yuntian Gu
OODD
31
6
0
08 Oct 2023
UniPCM: Universal Pre-trained Conversation Model with Task-aware
  Automatic Prompt
UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt
Yucheng Cai
Wentao Ma
Yuchuan Wu
Shuzheng Si
Yuan Shao
Zhijian Ou
Yongbin Li
53
3
0
20 Sep 2023
In-Context Learning for Text Classification with Many Labels
In-Context Learning for Text Classification with Many Labels
Aristides Milios
Siva Reddy
Dzmitry Bahdanau
22
34
0
19 Sep 2023
Continual Learning with Dirichlet Generative-based Rehearsal
Continual Learning with Dirichlet Generative-based Rehearsal
Min Zeng
Wei Xue
Qi-fei Liu
Yi-Ting Guo
CLL
BDL
32
5
0
13 Sep 2023
All Labels Together: Low-shot Intent Detection with an Efficient Label
  Semantic Encoding Paradigm
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm
Jiangshu Du
Congying Xia
Wenpeng Yin
Tingting Liang
Philip S. Yu
VLM
34
0
0
07 Sep 2023
Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance
Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance
Lefteris Loukas
Ilias Stogiannidis
Prodromos Malakasiotis
Stavros Vassos
37
19
0
28 Aug 2023
ChatGPT as Data Augmentation for Compositional Generalization: A Case
  Study in Open Intent Detection
ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection
Yihao Fang
Xianzhi Li
Stephen W. Thomas
Xiao-Dan Zhu
42
12
0
25 Aug 2023
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