This paper describes an unsupervised algorithm for segmenting categorical time series into episodes. The VOTING-EXPERTS algorithm first collects statistics about the frequency an...
This paper describes a supervised three-tier clustering method for classifying students’ essays of qualitative physics in the Why2-Atlas tutoring system. Our main purpose of cate...
Umarani Pappuswamy, Dumisizwe Bhembe, Pamela W. Jo...
Background: Topic detection is a task that automatically identifies topics (e.g., "biochemistry" and "protein structure") in scientific articles based on infor...
This article describes a finite-state cascade for the extraction of person names in texts in French. We extract these proper names in order to categorize and to cluster texts with...
Background: While biomedical text mining is emerging as an important research area, practical results have proven difficult to achieve. We believe that an important first step tow...