Jaesik Choi


The Global Banking Standards QA Dataset (GBS-QA)
Kyunghwan Sohn | Sunjae Kwon | Jaesik Choi
Proceedings of the Third Workshop on Economics and Natural Language Processing

A domain specific question answering (QA) dataset dramatically improves the machine comprehension performance. This paper presents a new Global Banking Standards QA dataset (GBS-QA) in the banking regulation domain. The GBS-QA has three values. First, it contains actual questions from market players and answers from global rule setter, the Basel Committee on Banking Supervision (BCBS) in the middle of creating and revising banking regulations. Second, financial regulation experts analyze and verify pairs of questions and answers in the annotation process. Lastly, the GBS-QA is a totally different dataset with existing datasets in finance and is applicable to stimulate transfer learning research in the banking regulation domain.


Reading Documents for Bayesian Online Change Point Detection
Taehoon Kim | Jaesik Choi
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing