Papers by Seonhee Cho
EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records (2024.findings-acl)
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| Challenge: | EHR-SeqSQL is the first text-to-SQl dataset to include sequential and contextual questions. |
| Approach: | They propose a sequential text-to-SQL dataset for electronic health records databases that addresses critical yet underexplored aspects in text- to-SqL parsing. |
| Outcome: | The proposed dataset improves compositional generalization efficiency and improves interactivity and compositionality. |
KOAS: Korean Text Offensiveness Analysis System (2021.emnlp-demo)
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San-Hee Park, Kang-Min Kim, Seonhee Cho, Jun-Hyung Park, Hyuntae Park, Hyuna Kim, Seongwon Chung, SangKeun Lee
| Challenge: | morphological richness and complex syntax of Korean cause difficulties in neural model training. |
| Approach: | They propose a system that exploits contextual and linguistic features and estimates an offensiveness score for a Korean text. |
| Outcome: | The proposed system exploits both contextual and linguistic features and estimates an offensiveness score for a Korean text. |
Open-WikiTable : Dataset for Open Domain Question Answering with Complex Reasoning over Table (2023.findings-acl)
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| Challenge: | Open-WikiTable is the first open domain question answering dataset that requires complex reasoning over tables. |
| Approach: | They propose to use open-domain question answering over tables to extract questions from tables. |
| Outcome: | The dataset is publicly available. it is built upon WikiSQL and WikiTableQuestions. |