Hongsuck Seo

Also published as: Paul Hongsuck Seo


2022

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Proceedings of the 1st Workshop on Customized Chat Grounding Persona and Knowledge
Heuiseok Lim | Seungryong Kim | Yeonsoo Lee | Steve Lin | Paul Hongsuck Seo | Yumin Suh | Yoonna Jang | Jungwoo Lim | Yuna Hur | Suhyune Son
Proceedings of the 1st Workshop on Customized Chat Grounding Persona and Knowledge

2015

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Conversational Knowledge Teaching Agent that uses a Knowledge Base
Kyusong Lee | Paul Hongsuck Seo | Junhwi Choi | Sangjun Koo | Gary Geunbae Lee
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue

2012

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A Meta Learning Approach to Grammatical Error Correction
Hongsuck Seo | Jonghoon Lee | Seokhwan Kim | Kyusong Lee | Sechun Kang | Gary Geunbae Lee
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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Grammatical Error Annotation for Korean Learners of Spoken English
Hongsuck Seo | Kyusong Lee | Gary Geunbae Lee | Soo-Ok Kweon | Hae-Ri Kim
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

The goal of our research is to build a grammatical error-tagged corpus for Korean learners of Spoken English dubbed Postech Learner Corpus. We collected raw story-telling speech from Korean university students. Transcription and annotation using the Cambridge Learner Corpus tagset were performed by six Korean annotators fluent in English. For the annotation of the corpus, we developed an annotation tool and a validation tool. After comparing human annotation with machine-recommended error tags, unmatched errors were rechecked by a native annotator. We observed different characteristics between the spoken language corpus built in this study and an existing written language corpus.