In many topic identification applications, supervised training labels are indirectly related to the semantic content of the documents being classified. For example, many topical...
The work described in this paper aims to enrich the noun classifications of an existing database of lexical resources (de Matos and Ribeiro, 2004) adding missing information such ...
Paula Cristina Vaz, David Martins de Matos, Nuno J...
The paper presents peer-to-peer multi-agent framework for community clustering based on contact propagation in the global network of contacts with individual ontology-based descrip...
Background: A huge amount of biomedical textual information has been produced and collected in MEDLINE for decades. In order to easily utilize biomedical information in the free t...
Wikipedia has been applied as a background knowledge base to various text mining problems, but very few attempts have been made to utilize it for document clustering. In this pape...
Anna Huang, David N. Milne, Eibe Frank, Ian H. Wit...