This paper presents a method for measuring the semantic similarity of texts, using corpus-based and knowledge-based measures of similarity. Previous work on this problem has focus...
Short texts clustering is one of the most difficult tasks in natural language processing due to the low frequencies of the document terms. We are interested in analysing these kind...
Diego Ingaramo, David Pinto, Paolo Rosso, Marcelo ...
Quick access to short, relevant video segments enables efficient use of a digital video library. This study evaluated an interface designed for such access, an interface that allow...
Michael G. Christel, David B. Winkler, C. Roy Tayl...
Clustering short length texts is a difficult task itself, but adding the narrow domain characteristic poses an additional challenge for current clustering methods. We addressed thi...
Recent research shows that ontology as background knowledge can improve document clustering quality with its concept hierarchy knowledge. Previous studies take term semantic simila...
Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K....