Semi-Supervised Models via Data Augmentationfor Classifying Interactive
Affective Responses

Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses

23 April 2020

Jiaao Chen

Diyi Yang

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Papers citing "Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses"

7 / 7 papers shown

Title
Low-Resource Multi-Granularity Academic Function Recognition Based on Multiple Prompt Knowledge Jiawei Liu Ziteng Xiong Yi-ping Jiang Yongqiang Ma Wei Lu Yong Huang Qikai Cheng 49 1 0 05 May 2023
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Joey Tianyi Zhou Diyi Yang 116 178 0 14 Jun 2021
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax Ehsan Kamalloo Mehdi Rezagholizadeh Peyman Passban Ali Ghodsi AAML 71 17 0 28 May 2021
Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests Jiaao Chen Diyi Yang 82 20 0 16 Jan 2021
Local Additivity Based Data Augmentation for Semi-supervised NER Jiaao Chen Zhenghui Wang Ran Tian Zichao Yang Diyi Yang 92 58 0 04 Oct 2020
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation Weixin Liang James Zou Zhou Yu ELM 99 34 0 21 May 2020
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification Jiaao Chen Zichao Yang Diyi Yang VLM 103 365 0 25 Apr 2020