Denoising Multi-Source Weak Supervision for Neural Text Classification

9 October 2020

Papers citing "Denoising Multi-Source Weak Supervision for Neural Text Classification"

44 / 44 papers shown

Title
ScriptoriumWS: A Code Generation Assistant for Weak Supervision Tzu-Heng Huang Catherine Cao Spencer Schoenberg Harit Vishwakarma Nicholas Roberts Frederic Sala NoLa 142 5 0 17 Feb 2025
A Weakly Supervised Data Labeling Framework for Machine Lexical Normalization in Vietnamese Social Media Dung Ha Nguyen Anh Thi Hoang Nguyen Kiet Van Nguyen 29 1 0 30 Sep 2024
Automating Weak Label Generation for Data Programming with Clinicians in the Loop Jean Park Sydney Pugh Kaustubh Sridhar Mengyu Liu N. Yarna Ramneet Kaur Souradeep Dutta E. Bernardis O. Sokolsky Insup Lee MedIm 38 1 0 10 Jul 2024
The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators Tzu-Heng Huang Catherine Cao Vaishnavi Bhargava Frederic Sala 35 3 0 25 Jun 2024
Convergence Behavior of an Adversarial Weak Supervision Method Steven An Sanjoy Dasgupta 23 0 0 25 May 2024
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement Paras Sheth Tharindu Kumarage Raha Moraffah Amanat Chadha Huan Liu 32 1 0 17 Apr 2024
A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction Yinghao Li R. Ramprasad Chao Zhang 101 11 0 20 Feb 2024
Domain Adaptation of Multilingual Semantic Search -- Literature Review Anna Bringmann Anastasia Zhukova VLM 41 0 0 05 Feb 2024
How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking Zhengyu Hu Jieyu Zhang Yue Yu Yuchen Zhuang Hui Xiong 26 5 0 04 Dec 2023
Can Large Language Models Design Accurate Label Functions? Naiqing Guan Kaiwen Chen Nick Koudas ALM 31 7 0 01 Nov 2023
Utilizing Weak Supervision To Generate Indonesian Conservation Dataset Mega Fransiska Diah Pitaloka Saripudin Satrio Putra Lintang Sutawika 27 0 0 17 Oct 2023
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal Anastasiia Sedova Lena Zellinger Benjamin Roth 14 2 0 07 Jun 2023
Local Boosting for Weakly-Supervised Learning Rongzhi Zhang Yue Yu Jiaming Shen Xiquan Cui Chao Zhang WSOL 39 2 0 05 Jun 2023
Weaker Than You Think: A Critical Look at Weakly Supervised Learning D. Zhu Xiaoyu Shen Marius Mosbach Andreas Stephan Dietrich Klakow NoLa 36 9 0 27 May 2023
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training Yunyi Zhang Minhao Jiang Yu Meng Yu Zhang Jiawei Han NoLa 48 12 0 23 May 2023
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text Classification Ziwen Liu J. Grau-Bové Scott Orr 37 1 0 27 Oct 2022
SepLL: Separating Latent Class Labels from Weak Supervision Noise Andreas Stephan Vasiliki Kougia Benjamin Roth 22 8 0 25 Oct 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification Linxin Song Jieyu Zhang Tianxiang Yang M. Goto 23 3 0 06 Oct 2022
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision Jieyu Zhang Linxin Song Alexander Ratner 56 8 0 06 Oct 2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels Nicholas Roberts Xintong Li Tzu-Heng Huang Dyah Adila Spencer Schoenberg Chengao Liu Lauren Pick Haotian Ma Aws Albarghouthi Frederic Sala UQCV 38 7 0 30 Aug 2022
Binary Classification with Positive Labeling Sources Jieyu Zhang Yujing Wang Yaming Yang Yang Luo Alexander Ratner 26 4 0 02 Aug 2022
Low Resource Pipeline for Spoken Language Understanding via Weak Supervision Ayush Kumar R. Tripathi Jithendra Vepa 17 1 0 21 Jun 2022
Integrated Weak Learning Peter Hayes Mingtian Zhang Raza Habib Jordan Burgess Emine Yilmaz David Barber 22 1 0 19 Jun 2022
XPASC: Measuring Generalization in Weak Supervision by Explainability and Association Luisa März Ehsaneddin Asgari Fabienne Braune Franziska Zimmermann Benjamin Roth 25 0 0 03 Jun 2022
Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition Yinghao Li Le Song Chao Zhang 16 9 0 27 May 2022
Understanding Programmatic Weak Supervision via Source-aware Influence Function Jieyu Zhang Hong Wang Cheng-Yu Hsieh Alexander Ratner TDI 40 9 0 25 May 2022
Meta Self-Refinement for Robust Learning with Weak Supervision D. Zhu Xiaoyu Shen Michael A. Hedderich Dietrich Klakow NoLa 32 7 0 15 May 2022
WeaNF: Weak Supervision with Normalizing Flows Andreas Stephan Benjamin Roth 23 0 0 28 Apr 2022
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision Anastasiia Sedova Benjamin Roth 23 0 0 14 Apr 2022
Label Augmentation with Reinforced Labeling for Weak Supervision Gürkan Solmaz Flavio Cirillo Fabio Maresca A. G. A. Kumar OffRL 21 2 0 13 Apr 2022
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming Cheng-Yu Hsieh Jieyu Zhang Alexander Ratner 33 15 0 02 Mar 2022
A Survey on Programmatic Weak Supervision Jieyu Zhang Cheng-Yu Hsieh Yue Yu Chao Zhang Alexander Ratner 30 91 0 11 Feb 2022
Adaptive Mixing of Auxiliary Losses in Supervised Learning D. Sivasubramanian Ayush Maheshwari Pradeep Shenoy A. Prathosh Ganesh Ramakrishnan 29 5 0 07 Feb 2022
Customer Sentiment Analysis using Weak Supervision for Customer-Agent Chat Navdeep Jain AI4MH 17 7 0 29 Nov 2021
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation Kaize Ding Dingcheng Li A. Li Xing Fan Chenlei Guo Yang Liu Huan Liu 36 6 0 25 Sep 2021
WRENCH: A Comprehensive Benchmark for Weak Supervision Jieyu Zhang Yue Yu Yinghao Li Yujing Wang Yaming Yang Mao Yang Alexander Ratner 22 111 0 23 Sep 2021
Self-Training with Differentiable Teacher Simiao Zuo Yue Yu Chen Liang Haoming Jiang Siawpeng Er Chao Zhang T. Zhao H. Zha 41 14 0 15 Sep 2021
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding Guoqing Zheng Giannis Karamanolakis Kai Shu Ahmed Hassan Awadallah SSL 21 1 0 28 Aug 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 22 34 0 26 May 2021
Challenges in Deploying Machine Learning: a Survey of Case Studies Andrei Paleyes Raoul-Gabriel Urma Neil D. Lawrence 23 389 0 18 Nov 2020
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios Michael A. Hedderich Lukas Lange Heike Adel Jannik Strötgen Dietrich Klakow 211 287 0 23 Oct 2020
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach Yue Yu Simiao Zuo Haoming Jiang Wendi Ren T. Zhao Chao Zhang AI4MH 8 129 0 15 Oct 2020
SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup Rongzhi Zhang Yue Yu Chao Zhang VLM 8 93 0 05 Oct 2020
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 267 13,368 0 25 Aug 2014