Cooperating Techniques for Extracting Conceptual Taxonomies from Text

The current abundance of electronic documents requires au- tomatic techniques that support the users in understanding their con- tent and extracting useful information. To this aim, it is important to have conceptual taxonomies that express common sense and implicit relationships among concepts. This work proposes a mix of several tech- niques that are brought to cooperation for learning them automatically. Although the work is at a preliminary stage, interesting initial results suggest to go on extending and improving the approach.