Kyoungyeon Cho, Seungkum Han, Young Rok Choi, and Wonseok Hwang, NESTLE: a no-code tool for statistical analysis of legal corpus, EACL 2024 System Demonstration Track (accepted).

Hyunjun Kim, Min Choi, and Wonseok Hwang, How court data reveals the impact of reformed Drinking Driving Punishment Act: Centered on changes in recidivism rates and court sentencing, Korean Criminological Review (형사정책연구), 2023.

Wonseok Hwang, Saehee Eom, Hanuhl Lee, Hai Jin Park, and Minjoon Seo, Data-efficient End-to-end Information Extraction for Statistical Legal Analysis , EMNLP 2022 Natural Legal Language Processing Workshop.

Wonseok Hwang, Dongjun Lee, Kyoungyeon Cho, Hanuhl Lee, ****and Minjoon Seo, A ****Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction, NeurIPS 2022 Datasets and Benchmarks Track.

Geewook Kim, Teakgyu Hong, Moonbin Yim, Jinyoung Park, Jinyeong Yim, Wonseok Hwang†, Sangdoo Yun, Dongyoon Han, Seunghyun Park**,** “OCR-free Document Understanding Transformer", ECCV 2022 (accepted).

Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang†, Daehyun Nam, and Sungrae Park, BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents, AAAI 2022.

Wonseok Hwang†, Hyunji Lee, Jinyeong Yim**,** Geewook Kim, and Minjoon Seo†, “Cost-effective End-to-end Information Extraction for Semi-structured Document Images”, EMNLP 2021.

(굵은 폰트: 엘박스 구성원)

(†: 대부분의 작업은 해당 저자가 NAVER에서 근무할 때 이루어 졌습니다.)