From rhetorical structures to document structure
Gersende Georg, Hugo Hernault, Marc Cavazza, Helmut Prendinger, Mitsuru Ishizuka · 2009
In this paper, the authors extend previous work on the automatic structuring of medical documents using content analysis. Their long-term objective is to take advantage of specific rhetoric markers encountered in specialized medical documents (clinical guidelines) to automatically structure free text according to its role in the document. This should enable to generate multiple views of the same document depending on the target audience, generate document summaries, as well as facilitating knowledge extraction from text. The authors have established in previous work that the structure of clinical guidelines could be refined through the identification of a limited set of deontic operators. They now propose to extend this approach by analyzing the text delimited by these operators using Rhetorical Structure Theory. The emphasis on causality and time in RST proves a powerful complement to the recognition of deontic structures while retaining the same philosophy of high-level recognition of sentence structure, which can be converted into applicationspecific mark-ups. Throughout the paper, the authors illustrate their findings through results produced by the automatic processing of English guidelines for the management of hypertension and Alzheimer disease.