Data Manipulation: Towards Effective Instance Learning for Neural
Dialogue Generation via Learning to Augment and Reweight

Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight

6 April 2020

Papers citing "Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight"

16 / 16 papers shown

Title
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models Minki Kang Sung Ju Hwang Gibbeum Lee Jaewoong Cho KELM 48 0 0 01 Nov 2024
Learning towards Selective Data Augmentation for Dialogue Generation Preslav Nakov Mingzhe Li Jiayi Zhang Xiaoqiang Xia Chen Wei Jianwei Cui Xin Gao Xiangliang Zhang Rui Yan 38 7 0 17 Mar 2023
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction Jun Gao Changlong Yu Wei Wang Huan Zhao Ruifeng Xu 28 33 0 06 Jan 2023
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues Jiao Ou Jinchao Zhang Yang Feng Jie Zhou 52 13 0 30 Oct 2022
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation Hongyuan Lu W. Lam 26 9 0 17 Aug 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding Le Zhang Zichao Yang Diyi Yang 40 24 0 12 May 2022
A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generation Yu Cao Wei Bi Meng Fang Shuming Shi Dacheng Tao 37 48 0 21 Apr 2022
Rethinking and Refining the Distinct Metric Siyang Liu Sahand Sabour Yinhe Zheng Pei Ke Xiaoyan Zhu Minlie Huang 41 11 0 28 Feb 2022
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification Shuhuai Ren Jinchao Zhang Lei Li Xu Sun Jie Zhou 38 31 0 01 Sep 2021
Data Augmentation for Low-Resource Named Entity Recognition Using Backtranslation Usama Yaseen Stefan Langer MedIm 21 15 0 26 Aug 2021
Similarity Based Label Smoothing For Dialogue Generation Sougata Saha Souvik Das Rohini Srihari 30 3 0 23 Jul 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Joey Tianyi Zhou Diyi Yang 35 172 0 14 Jun 2021
Diversifying Dialog Generation via Adaptive Label Smoothing Yida Wang Yinhe Zheng Yong-jia Jiang Minlie Huang 28 37 0 30 May 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 47 801 0 07 May 2021
An Analysis of Simple Data Augmentation for Named Entity Recognition Xiang Dai Heike Adel 35 194 0 22 Oct 2020
Enhancing Dialogue Generation via Multi-Level Contrastive Learning Xin Li Piji Li Yan Wang Xiaojiang Liu Wai Lam 26 5 0 19 Sep 2020