Combining Qualitative and Quantitative Keyword Extraction Methods with Document Layout Analysis.
Stefano Ferilli, Marenglen Biba, Teresa M. A. Basile, Floriana Esposito · 2009
Abstract. The large availability of documents in digital format posed the problem of efficient and effective retrieval mechanisms. This involves the ability to process natural language, which is a significantly complex task. Traditional algorithms based on term matching between the document and the query, although efficient, are not able to catch the intended meaning of both, and hence cannot ensure effectiveness. To step on toward semantics, problems such as polysemy and synonimy must be tackled automatically by text processing systems. This work aims at introducing in the document processing framework of DOMINUS qualitative techniques based on the lexical taxonomy WordNet and its extension WordNet Domains for text categorization and keyword extraction, that can support the currently embedded techniques based on quantitative approaches. In particular, a density function is exploited to assign the proper importance to the involved concepts and domains. Preliminary results on texts of different subjects confirm its effectiveness.