most citedThe Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.HC2022★ 2 cited

The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data

Inha Cha, Juhyun Oh, Cheul Young Park +2

We thought data to be simply given, but reality tells otherwise; it is costly, situation-dependent, and muddled with dilemmas, constantly requiring human intervention. The ML commu…

cs.CL2021

KLUE: Korean Language Understanding Evaluation

Sungjoon Park, Jihyung Moon, Sungdong Kim +28

We introduce Korean Language Understanding Evaluation (KLUE) benchmark. KLUE is a collection of 8 Korean natural language understanding (NLU) tasks, including Topic Classification,…