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IDAS: Intent Discovery with Abstractive Summarization

IDAS: Intent Discovery with Abstractive Summarization

31 May 2023
Maarten De Raedt
Fréderic Godin
Thomas Demeester
Chris Develder
ArXiv (abs)PDFHTML

Papers citing "IDAS: Intent Discovery with Abstractive Summarization"

15 / 15 papers shown
Title
Text Clustering as Classification with LLMs
Text Clustering as Classification with LLMs
Chen Huang
Guoxiu He
97
4
0
03 Jan 2025
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
Hanlei Jin
Yang Zhang
Dan Meng
Jun Wang
Jinghua Tan
229
96
0
05 Mar 2024
New Intent Discovery with Pre-training and Contrastive Learning
New Intent Discovery with Pre-training and Contrastive Learning
Yuwei Zhang
Haode Zhang
Li-Ming Zhan
Albert Y.S. Lam
Albert Y. S. Lam
SSLVLM
120
43
0
25 May 2022
Learning To Retrieve Prompts for In-Context Learning
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin
Jonathan Herzig
Jonathan Berant
VPVLMRALM
86
707
0
16 Dec 2021
MetaICL: Learning to Learn In Context
MetaICL: Learning to Learn In Context
Sewon Min
M. Lewis
Luke Zettlemoyer
Hannaneh Hajishirzi
LRM
219
490
0
29 Oct 2021
Meta-learning via Language Model In-context Tuning
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
291
162
0
15 Oct 2021
Noisy Channel Language Model Prompting for Few-Shot Text Classification
Noisy Channel Language Model Prompting for Few-Shot Text Classification
Sewon Min
Michael Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
VLM
81
220
0
09 Aug 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao
Xingcheng Yao
Danqi Chen
AILawSSL
274
3,407
0
18 Apr 2021
Supporting Clustering with Contrastive Learning
Supporting Clustering with Contrastive Learning
Dejiao Zhang
Feng Nan
Xiaokai Wei
Shang-Wen Li
Henghui Zhu
Kathleen McKeown
Ramesh Nallapati
Andrew O. Arnold
Bing Xiang
SSL
81
201
0
24 Mar 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAMLRALM
390
1,387
0
17 Jan 2021
Discovering New Intents with Deep Aligned Clustering
Discovering New Intents with Deep Aligned Clustering
Hanlei Zhang
Hua Xu
Ting-En Lin
Rui Lv
87
119
0
16 Dec 2020
Efficient Intent Detection with Dual Sentence Encoders
Efficient Intent Detection with Dual Sentence Encoders
I. Casanueva
Tadas Temvcinas
D. Gerz
Matthew Henderson
Ivan Vulić
VLM
370
476
0
10 Mar 2020
An Evaluation Dataset for Intent Classification and Out-of-Scope
  Prediction
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
Stefan Larson
Anish Mahendran
Joseph Peper
Christopher Clarke
Andrew Lee
...
Jonathan K. Kummerfeld
Kevin Leach
M. Laurenzano
Lingjia Tang
Jason Mars
110
530
0
04 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.3K
12,295
0
27 Aug 2019
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
92
2,879
0
19 Nov 2015
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