On Data Augmentation for Extreme Multi-label Classification

On Data Augmentation for Extreme Multi-label Classification

22 September 2020

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Papers citing "On Data Augmentation for Extreme Multi-label Classification"

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Title
Text generation for dataset augmentation in security classification tasks Alexander P. Welsh Matthew Edwards 85 2 0 22 Oct 2023
Investigating Masking-based Data Generation in Language Models Edward Ma 205 0 0 16 Jun 2023
Textual Data Augmentation for Patient Outcomes PredictionIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021 Qiuhao Lu Dejing Dou Thien Huu Nguyen 85 18 0 13 Nov 2022
A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language ProcessingConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022 Sophie Henning William H. Beluch Kangyang Luo Annemarie Friedrich 152 32 0 10 Oct 2022
Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification A. Edwards Asahi Ushio Jose Camacho-Collados Hélène de Ribaupierre Alun D. Preece VLM 161 29 0 17 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing Surveys (CSUR), 2021 Bonan Min Hayley L Ross Elior Sulem Amir Pouran Ben Veyseh Thien Huu Nguyen Oscar Sainz Eneko Agirre Ilana Heinz Dan Roth LM&MA VLM AI4CE 362 1,322 0 01 Nov 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 340 339 0 05 Oct 2021
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction Danqing Zhang Zheng Li Tianyu Cao Chen Luo Tony Wu Hanqing Lu Yiwei Song Bing Yin Tuo Zhao Qiang Yang 222 24 0 19 Aug 2021