WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding

28 August 2021

Guoqing Zheng

Giannis Karamanolakis

Kai Shu

Ahmed Hassan Awadallah

SSL

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Papers citing "WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding"

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Title
WRENCH: A Comprehensive Benchmark for Weak Supervision Jieyu Zhang Yue Yu Yinghao Li Yujing Wang Yaming Yang Mao Yang Alexander Ratner 43 113 0 23 Sep 2021
FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark Liang Xu Xiaojing Lu Chenyang Yuan Xuanwei Zhang Huilin Xu ... Guoao Wei X. Pan Xin Tian Libo Qin Hai Hu ELM 51 57 0 15 Jul 2021
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition Yinghao Li Pranav Shetty Lu Liu Chao Zhang Le Song NoLa 34 34 0 26 May 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 267 183 0 18 Apr 2021
Self-Training with Weak Supervision Giannis Karamanolakis Subhabrata Mukherjee Guoqing Zheng Ahmed Hassan Awadallah NoLa 41 86 0 12 Apr 2021
Denoising Multi-Source Weak Supervision for Neural Text Classification Wendi Ren Yinghao Li Hanting Su David Kartchner Cassie S. Mitchell Chao Zhang NoLa 60 70 0 09 Oct 2020
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners Timo Schick Hinrich Schütze 94 970 0 15 Sep 2020
Semi-Supervised Data Programming with Subset Selection Ayush Maheshwari Oishik Chatterjee Krishnateja Killamsetty Ganesh Ramakrishnan Rishabh K. Iyer 41 21 0 22 Aug 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 112 2,682 0 05 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 546 41,106 0 28 May 2020
Learning with Weak Supervision for Email Intent Detection Kai Shu Subhabrata Mukherjee Guoqing Zheng Ahmed Hassan Awadallah Milad Shokouhi S. Dumais 27 34 0 26 May 2020
Named Entity Recognition without Labelled Data: A Weak Supervision Approach Pierre Lison A. Hubin Jeremy Barnes Samia Touileb 40 112 0 30 Apr 2020
Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News Kai Shu Guoqing Zheng Yichuan Li Subhabrata Mukherjee Ahmed Hassan Awadallah Scott W. Ruston Huan Liu 109 54 0 03 Apr 2020
Meta Label Correction for Noisy Label Learning Guoqing Zheng Ahmed Hassan Awadallah S. Dumais NoLa OffRL 74 181 0 10 Nov 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 167 7,437 0 02 Oct 2019
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training Giannis Karamanolakis Daniel J. Hsu Luis Gravano 37 39 0 01 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 469 24,160 0 26 Jul 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Alex Jinpeng Wang Yada Pruksachatkun Nikita Nangia Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 205 2,296 0 02 May 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.2K 93,936 0 11 Oct 2018
Weakly-Supervised Neural Text Classification Yu Meng Jiaming Shen Chao Zhang Jiawei Han 60 188 0 02 Sep 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 749 7,080 0 20 Apr 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 132 1,419 0 24 Mar 2018
Deep contextualized word representations Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer NAI 143 11,520 0 15 Feb 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise Dan Hendrycks Mantas Mazeika Duncan Wilson Kevin Gimpel NoLa 125 553 0 14 Feb 2018
Snorkel: Rapid Training Data Creation with Weak Supervision Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Alan Fries Sen Wu Christopher Ré 69 1,021 0 28 Nov 2017
Fake News Detection on Social Media: A Data Mining Perspective Kai Shu A. Sliva Suhang Wang Jiliang Tang Huan Liu GNN EgoV 72 2,766 0 07 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 521 129,831 0 12 Jun 2017
SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data Jason Alan Fries Sen Wu Alex Ratner Christopher Ré MedIm 57 95 0 20 Apr 2017
Automated Phrase Mining from Massive Text Corpora Jingbo Shang Jialu Liu Meng Jiang Xiang Ren Clare R. Voss Jiawei Han 42 308 0 15 Feb 2017
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Zhuang Li NoLa 85 1,447 0 13 Sep 2016
Stance Detection with Bidirectional Conditional Encoding Isabelle Augenstein Tim Rocktaschel Andreas Vlachos Kalina Bontcheva 44 409 0 17 Jun 2016
Character-level Convolutional Networks for Text Classification Xiang Zhang Jiaqi Zhao Yann LeCun 219 6,077 0 04 Sep 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation George Papandreou Liang-Chieh Chen Kevin Patrick Murphy Alan Yuille SSeg 100 916 0 09 Feb 2015
Training Convolutional Networks with Noisy Labels Sainbayar Sukhbaatar Joan Bruna Manohar Paluri Lubomir D. Bourdev Rob Fergus NoLa 80 270 0 09 Jun 2014