A hybrid optimization approach for employee rostering: Use cases at Swissgrid and lessons learned

no code implementations • 21 Nov 2021 • Jangwon Park, Evangelos Vrettos

In this work, we develop a hybrid methodology which combines Mixed-Integer Linear Programming (MILP) with scatter search, an evolutionary algorithm, having as use case the optimization of employee rostering for Swissgrid, where it is currently a largely manual process.

KLUE: Korean Language Understanding Evaluation

4 code implementations • 20 May 2021 • Sungjoon Park, Jihyung Moon, Sungdong Kim, Won Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, JunSeong Kim, Yongsook Song, Taehwan Oh, Joohong Lee, Juhyun Oh, Sungwon Lyu, Younghoon Jeong, InKwon Lee, Sangwoo Seo, Dongjun Lee, Hyunwoo Kim, Myeonghwa Lee, Seongbo Jang, Seungwon Do, Sunkyoung Kim, Kyungtae Lim, Jongwon Lee, Kyumin Park, Jamin Shin, Seonghyun Kim, Lucy Park, Alice Oh, Jung-Woo Ha, Kyunghyun Cho

We introduce Korean Language Understanding Evaluation (KLUE) benchmark.

Dependency Parsing Dialogue State Tracking +10

Domain-agnostic Question-Answering with Adversarial Training

1 code implementation • WS 2019 • Seanie Lee, Donggyu Kim, Jangwon Park

Adapting models to new domain without finetuning is a challenging problem in deep learning.

Domain Generalization Question Answering