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한국어 국회 회의록 생성 요약 말뭉치 구축 및 모델 개발
함영균,강예지,박서윤,정용빈,서현빈,이이슬,서혜진,서샛별,김한샘 한국정보과학회 2024 정보과학회논문지 Vol.51 No.3
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.
한국어 워드넷 연결과 웹 자원 접근성 개선에 의한 디비피디아 강화
임경태(KyungTae Lim),함영균(YoungGyun Hahm),마틴(Martin Rezk),박정열(Jungyeul Park),윤용운(Yongun Yoon),최기선(Key-Sun Choi) 한국정보과학회 2013 정보과학회 컴퓨팅의 실제 논문지 Vol.19 No.9
본 논문에서는 한국어 디비피디아의 웹 자원 접근성 개선과 한국어 워드넷 연결을 통한 한국어 디비피디아 활용도를 높이는 방안을 제시한다. 이를 통해, 한국어 디비피디아는 사람이 읽을 수 있는 상태의 리소스 페이지 제공이 가능하다. 한편, 한국어 워드넷인 코어넷과 한국어 디비피디아와의 연결을 통해 디비피디아로부터 접근 가능한 단어의 범위를 확장하였다. 한국어 디비피디아-코어넷 연동은 유사도 계산에 의해서 92%의 연결 정확도를 보였고 오류 분석을 시도하였다. In this paper, we find a way to make good use of Korean DBpedia by improving web access to Korean DBpedia resources and linking Korean Word Net called CoreNet. Current Korean DBpedia can generate a human readable resource page. We also increase the number of accessible words by linking CoreNet and Korean DBpedia. By measuring similarity between CoreNet and Korean DBpedia the linking accuracy is up to 92% and we analyze remaining errors.
원유성(Yousung Won),우종성(Jongseong Woo),김지성(Jiseong Kim),함영균(YoungGyun Hahm),최기선(Key-Sun Choi) Korean Institute of Information Scientists and Eng 2015 정보과학회논문지 Vol.42 No.12
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.