한국정보과학회:학술대회논문집 (Proceedings of the Korean Information Science Society Conference)

한국정보과학회 (Korean Institute of Information Scientists and Engineers)
권호 표지

자동 범주유창성검사 평가를 향하여: 단어 군집화를 활용한 그룹간 구별

Towards Automatic Evaluation of Category Fluency Test Performance : Distinguishing Groups using Word Clustering

  • 이용재 (한국과학기술원 전산학과) ;
  • ;
  • 이희진 (한국과학기술원 전산학과) ;
  • 박종철 (한국과학기술원 전산학과)
  • 발행 : 2012.06.22

⟨ 이전 논문 다음 논문 ⟩

초록

The Category Fluency Test (CFT) is a widely used verbal fluency test. The standard measure of scoring the test is the number of distinct words that a subject generates during the test. Recently, other measures have also been proposed to evaluate performance, such as clustering and switching. In this study, we examine clusters and switches can be assessed using word similarity measures. Based on these measures, we can distinguish between subject groups.

키워드

과제정보

연구 과제 주관 기관 : National Research Foundation of Korea (NRF)