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Learning to Classify Intents and Slot Labels Given a Handful of Examples

Learning to Classify Intents and Slot Labels Given a Handful of Examples

22 April 2020
Jason Krone
Yi Zhang
Mona T. Diab
    VLM
ArXivPDFHTML

Papers citing "Learning to Classify Intents and Slot Labels Given a Handful of Examples"

10 / 10 papers shown
Title
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent
  Classification
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification
Mujeen Sung
James Gung
Elman Mansimov
Nikolaos Pappas
Raphael Shu
Salvatore Romeo
Yi Zhang
Vittorio Castelli
31
7
0
24 May 2023
TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained
  Language Models
TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained Language Models
A. Davody
David Ifeoluwa Adelani
Thomas Kleinbauer
Dietrich Klakow
22
4
0
15 Jun 2022
NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural
  Language Understanding in Task-Oriented Dialogue
NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialogue
I. Casanueva
Ivan Vulić
Georgios P. Spithourakis
Paweł Budzianowski
27
10
0
27 Apr 2022
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text
  Classification
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification
Jianhai Zhang
M. Maimaiti
Xing Gao
Yuanhang Zheng
Ji Zhang
16
9
0
11 Apr 2022
Few-shot Named Entity Recognition with Cloze Questions
Few-shot Named Entity Recognition with Cloze Questions
V. Gatta
V. Moscato
Marco Postiglione
Giancarlo Sperlí
19
4
0
24 Nov 2021
Controllable Semantic Parsing via Retrieval Augmentation
Controllable Semantic Parsing via Retrieval Augmentation
Panupong Pasupat
Yuan Zhang
Kelvin Guu
132
47
0
16 Oct 2021
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot
  Slot Tagging
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging
Hongru Wang
Zezhong Wang
Gabriel Pui Cheong Fung
Kam-Fai Wong
OffRL
CLL
27
10
0
26 Aug 2021
Language Model is All You Need: Natural Language Understanding as
  Question Answering
Language Model is All You Need: Natural Language Understanding as Question Answering
Mahdi Namazifar
Alexandros Papangelis
Gokhan Tur
Dilek Z. Hakkani-Tür
21
47
0
05 Nov 2020
Few-shot Learning for Multi-label Intent Detection
Few-shot Learning for Multi-label Intent Detection
Yutai Hou
Y. Lai
Yushan Wu
Wanxiang Che
Ting Liu
VLM
21
48
0
11 Oct 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
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