Seongjun Yang — accepted AI-conference papers

2022

EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records

Gyubok Lee, Hyeonji Hwang, Seongsu Bae, Yeonsu Kwon, Woncheol Shin, Seongjun Yang +3

NeurIPS 2022accept

We present a new text-to-SQL dataset for electronic health records (EHRs). The utterances were collected from 222 hospital staff, including physicians, nurses, insurance review and health records teams, and more. To construct the QA dataset on structured EHR data, we conducted a poll at a university…

Cited by 41 Source ↗PDF ↗code ↗Scholar ↗

2021

Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction

Gyubok Lee, Seongjun Yang, Edward Choi

ACL 2021short

Accurate terminology translation is crucial for ensuring the practicality and reliability of neural machine translation (NMT) systems. To address this, lexically constrained NMT explores various methods to ensure pre-specified words and phrases appear in the translation output. However, in many case…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗