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Search : [ author: Younggyun Hahm ] (2)

Abstractive Summarization Corpus Construction of National Assembly Minutes and Model Development

Younggyun Hahm, Yejee Kang, Seoyoon Park, Yongbin Jeong, Hyunbin Seo, Yiseul Lee, Hyejin Seo, Saetbyol Seo, Hansaem Kim

http://doi.org/10.5626/JOK.2024.51.3.218

The mainstream of summary research has been targeting documents, but recently, interest in meeting summary research has significantly increased. As part of the National Institute of Korean Language’s big data construction project, a study on the summary of the National Assembly minutes, which have not yet been studied in Korea, was conducted and a summarization dataset for the National Assembly minutes was constructed. Qualitative intrinsic human evaluation was conducted to verify the quality of the constructed dataset. In addition, by conducting quantitative and qualitative evaluations of datasets built through the generative summarization model, the evaluation of the National Assembly Minutes Summarization dataset and the research direction of future generative and minutes summaries were sought.

Linking Korean Predicates to Knowledge Base Properties

Yousung Won, Jongseong Woo, Jiseong Kim, YoungGyun Hahm, Key-Sun Choi

http://doi.org/

Relation extraction plays a role in for the process of transforming a sentence into a form of knowledge base. In this paper, we focus on predicates in a sentence and aim to identify the relevant knowledge base properties required to elucidate the relationship between entities, which enables a computer to understand the meaning of a sentence more clearly. Distant Supervision is a well-known approach for relation extraction, and it performs lexicalization tasks for knowledge base properties by generating a large amount of labeled data automatically. In other words, the predicate in a sentence will be linked or mapped to the possible properties which are defined by some ontologies in the knowledge base. This lexical and ontological linking of information provides us with a way of generating structured information and a basis for enrichment of the knowledge base.


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