Adaptive Self-training for Few-shot Neural Sequence Labeling

Adaptive Self-training for Few-shot Neural Sequence Labeling

7 October 2020

Subhabrata Mukherjee

Jing Gao

Ahmed Hassan Awadallah

Papers citing "Adaptive Self-training for Few-shot Neural Sequence Labeling"

11 / 11 papers shown

Title
How to choose "Good" Samples for Text Data Augmentation Xiaotian Lin Nankai Lin Yingwen Fu Ziyu Yang Shengyi Jiang 36 2 0 02 Feb 2023
Friend-training: Learning from Models of Different but Related Tasks Mian Zhang Lifeng Jin Linfeng Song Haitao Mi Xiabing Zhou Dong Yu VLM 19 0 0 31 Jan 2023
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks Weiwen Xu Xin Li Yang Deng W. Lam Lidong Bing 31 9 0 17 Oct 2022
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition Linyi Yang Lifan Yuan Leyang Cui Wen Gao Yue Zhang 21 15 0 24 Aug 2022
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining? Subhabrata Dutta Jeevesh Juneja Dipankar Das Tanmoy Chakraborty 17 15 0 24 Mar 2022
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework Yaqing Wang Haoda Chu Chao Zhang Jing Gao 17 38 0 11 Sep 2021
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data Haoming Jiang Danqing Zhang Tianyu Cao Bing Yin T. Zhao NoLa 27 44 0 16 Jun 2021
Self-Training with Weak Supervision Giannis Karamanolakis Subhabrata Mukherjee Guoqing Zheng Ahmed Hassan Awadallah NoLa 11 86 0 12 Apr 2021
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 244 269 0 30 Sep 2019
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017
Language as a Latent Variable: Discrete Generative Models for Sentence Compression Yishu Miao Phil Blunsom 201 223 0 23 Sep 2016