How brain structures and neuronal circuits mechanistically underpin symbolic meaning has
recently been elucidated by neuroimaging, neuropsychological, and neurocomputational …

Neuroscience has greatly improved our understanding of the brain basis of abstract lexical
and semantic processes. The neuronal devices underlying words and concepts are …

If we take an existing supervised NLP system, a simple and general way to improve
accuracy is to use unsupervised word representations as extra word features. We evaluate …

We are glad to present the proceedings of the 5th biennial conference in the Intelligent Data
Analysis series. The conference took place in Berlin, Germany, August 28–30, 2003. IDA …

With the WEBSOM method a textual document collection may be organized onto a graphical
map display that provides an overview of the collection and facilitates interactive browsing …

Abstract The Self-Organizing Map (SOM) algorithm has attracted an ever increasing amount
of interest among researches and practitioners in a wide variety of elds. The SOM and a …

Developed by Jean-Paul Benzerci more than 30 years ago, correspondence analysis as a
framework for analyzing data quickly found widespread popularity in Europe. The topicality …

Which types of nerve cell circuits enable humans to use and understand meaningful signs
and words? Philosophers were the first to point out that the arbitrary links between signs and …

Powerful methods for interactive exploration and search from collections of free-form textual
documents are needed to manage the ever-increasing flood of digital information. In this …

A viable alternative to the traditional text-mining methods is the WEBSOM, a software system
based on the Self-Organizing Map (SOM) principle. Prior to the searching or browsing …