Learning with Noisy Labels for Sentence-level Sentiment Classification

Learning with Noisy Labels for Sentence-level Sentiment Classification

31 August 2019

Tianrui Li

Papers citing "Learning with Noisy Labels for Sentence-level Sentiment Classification"

10 / 10 papers shown

Title
On-the-fly Denoising for Data Augmentation in Natural Language Understanding Tianqing Fang Wenxuan Zhou Fangyu Liu Hongming Zhang Yangqiu Song Muhao Chen 41 1 0 20 Dec 2022
Sources of Noise in Dialogue and How to Deal with Them Derek Chen Zhou Yu 29 2 0 06 Dec 2022
CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media Momchil Hardalov Anton Chernyavskiy Ivan Koychev Dmitry Ilvovsky Preslav Nakov HAI 35 15 0 10 Oct 2022
Clean or Annotate: How to Spend a Limited Data Collection Budget Derek Chen Zhou Yu Samuel R. Bowman 37 13 0 15 Oct 2021
Learning from Noisy Labels for Entity-Centric Information Extraction Wenxuan Zhou Muhao Chen NoLa 12 65 0 17 Apr 2021
Analysing the Noise Model Error for Realistic Noisy Label Data Michael A. Hedderich D. Zhu Dietrich Klakow NoLa 29 19 0 24 Jan 2021
Denoising Multi-Source Weak Supervision for Neural Text Classification Wendi Ren Yinghao Li Hanting Su David Kartchner Cassie S. Mitchell Chao Zhang NoLa 31 70 0 09 Oct 2020
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages Michael A. Hedderich David Ifeoluwa Adelani D. Zhu Jesujoba Oluwadara Alabi Udia Markus Dietrich Klakow 17 72 0 07 Oct 2020
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá David Ifeoluwa Adelani Michael A. Hedderich D. Zhu Esther van den Berg Dietrich Klakow 14 11 0 18 Mar 2020
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 270 13,368 0 25 Aug 2014