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C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot
  Filling

C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling

13 December 2020
Yutai Hou
Sanyuan Chen
Wanxiang Che
Cheng Chen
Ting Liu
ArXivPDFHTML

Papers citing "C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling"

5 / 5 papers shown
Title
Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt
  Tuning
Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning
Mingyu Derek Ma
Jiun-Yu Kao
Shuyang Gao
Arpit Gupta
Di Jin
Tagyoung Chung
Nanyun Peng
26
7
0
26 Jan 2023
Data Augmentation using Transformers and Similarity Measures for
  Improving Arabic Text Classification
Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification
Dania Refai
Saleh Abu-Soud
Mohammad J. Abdel-Rahman
40
12
0
28 Dec 2022
Data Augmentation Approaches in Natural Language Processing: A Survey
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
132
271
0
05 Oct 2021
Generative Conversational Networks
Generative Conversational Networks
Alexandros Papangelis
Karthik Gopalakrishnan
Aishwarya Padmakumar
Seokhwan Kim
Gokhan Tur
Dilek Z. Hakkani-Tür
27
18
0
15 Jun 2021
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
205
713
0
17 Apr 2018
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