Simple is Better! Lightweight Data Augmentation for Low Resource Slot Filling and Intent Classification

8 September 2020

Papers citing "Simple is Better! Lightweight Data Augmentation for Low Resource Slot Filling and Intent Classification"

8 / 8 papers shown

Title
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
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP Gözde Gül Sahin 42 33 0 18 Nov 2021
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation David Alfonso-Hermelo Ahmad Rashid Abbas Ghaddar Huawei Noah’s Mehdi Rezagholizadeh 39 2 0 09 Nov 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 132 274 0 05 Oct 2021
Data Augmentation Methods for Anaphoric Zero Pronouns Abdulrahman Aloraini Massimo Poesio 29 5 0 20 Sep 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 44 801 0 07 May 2021
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 216 315 0 04 Mar 2020
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding Libo Qin Wanxiang Che Yangming Li Haoyang Wen Ting Liu 52 260 0 05 Sep 2019