Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations

22 April 2022

Papers citing "Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations"

8 / 8 papers shown

Title
LLM-Driven Multimodal Opinion Expression Identification Bonian Jia Huiyao Chen Yueheng Sun Meishan Zhang M. Zhang 32 2 0 26 Jun 2024
Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension M. Herde Lukas Lührs Denis Huseljic Bernhard Sick 29 3 0 06 May 2024
A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check Haojing Huang Jingheng Ye Qingyu Zhou Yinghui Li Yangning Li Feng Zhou Hai-Tao Zheng LRM 29 13 0 13 Oct 2023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization Yidong Wang Zhuohao Yu Zhengran Zeng Linyi Yang Cunxiang Wang ... Jindong Wang Xingxu Xie Wei Ye Shi-Bo Zhang Yue Zhang ALM ELM 51 224 0 08 Jun 2023
Cost-efficient Crowdsourcing for Span-based Sequence Labeling: Worker Selection and Data Augmentation Yujie Wang Chaorui Huang Liner Yang Zhixuan Fang Yaping Huang Yang Liu Erhong Yang 20 0 0 11 May 2023
Unsupervised Entity Alignment for Temporal Knowledge Graphs Xiaoze Liu Junyang Wu Tianyi Li Lu Chen Yunjun Gao 13 39 0 01 Feb 2023
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution Aiwei Liu Honghai Yu Xuming Hu Shuang Li Li Lin Fukun Ma Yawen Yang Lijie Wen 26 33 0 31 Oct 2022
Scene Graph Modification as Incremental Structure Expanding Xuming Hu Zhijiang Guo Yuwei Fu Lijie Wen Philip S. Yu 33 2 0 15 Sep 2022