Partially parsed corpora is used for automatically extracting semantic and syntactic subcategorization information for words, helping to cluster them according to their sense which is highly restricted by the syntactic contexts where words do occur. In this paper we propose the use of a parsing platform, based on chart parsing and tabling, in order to check if the syntactic and semantic information extracted automatically leads to better parses than assuming that words do not subcategorize anything.