DataCLUE: A Benchmark Suite for Data-centric NLP

16 November 2021

Papers citing "DataCLUE: A Benchmark Suite for Data-centric NLP"

6 / 6 papers shown

Title
A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets I. Bojić Josef Halim Verena Suharman Sreeja Tar Qi Chwen Ong Duy Phung Mathieu Ravaut Chenyu You Josip Car FedML 39 3 0 02 Apr 2023
Statistical Dataset Evaluation: Reliability, Difficulty, and Validity Chengwen Wang Qingxiu Dong Xiaochen Wang Haitao Wang Zhifang Sui XAI 31 3 0 19 Dec 2022
Detecting Label Errors by using Pre-Trained Language Models Derek Chong Jenny Hong Christopher D. Manning NoLa 55 21 0 25 May 2022
Handling and Presenting Harmful Text in NLP Research Hannah Rose Kirk Abeba Birhane Bertie Vidgen Leon Derczynski 26 47 0 29 Apr 2022
Data-Centric AI Requires Rethinking Data Notion Mustafa Hajij Ghada Zamzmi Karthikeyan N. Ramamurthy Aldo Guzmán-Sáenz 46 16 0 06 Oct 2021
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 304 7,005 0 20 Apr 2018