Abstract. This paper investigates a new extension of the Probabilistic Latent Semantic Analysis (PLSA) model [6] for text classification where the training set is partially labeled...
Previously topic models such as PLSI (Probabilistic Latent Semantic Indexing) and LDA (Latent Dirichlet Allocation) were developed for modeling the contents of plain texts. Recent...
In the context of the Semantic Web, several approaches to the combination of ontologies, given in terms of theories of classical first-order logic, and rule bases have been propo...
Jos de Bruijn, Thomas Eiter, Axel Polleres, Hans T...
Detecting the tone or emotive content of a text message is increasingly important in many natural language processing applications. Examples of such applications are rating new bo...
To achieve true interoperability for valuable linguistic resources different levels of variation need to be addressed. ISO Technical Committee 37, Terminology and other language a...
Marc Kemps-Snijders, Menzo Windhouwer, Peter Witte...