All results were obtained with the classification system LCS2 (http://www.phasar.cs.ru.nl/LCS/) using the balanced Winnow method with parameters tuned on previous experiments. 

The texts were considered as a bag of words (W) or as a bag of linguistic triplets (T; 2 words and a relation) obtained by preprocessing the text of the selected fields by the parsers of English (EP4IR) and French (FR4IR) built with AGFL (http://www.agfl.cs.ru.nl), the German texts being kept as bags of words.

We used only the documents that have at least one abstract or a description (Run5). Both for training and as input of the classifier, we used the abstracts and titles (A) or the abstracts, titles, names and addresses (N), or the description (D).
Run1: W A
Run2: T A
Run3: W N
Run4: T N
Run5: W D

We have output for each document all the classes with their scores, but we consider that only the classes with a score greater than 1 are retrieved.
  
30/06/10: the Run5 is not ready and then not included in the tar.gz file.


Jean Beney
