Knowledge acquisition from prescriptive texts
IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2
Symbolic Authoring for Multilingual Natural Language Generation
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
Sentence level discourse parsing using syntactic and lexical information
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Building a discourse-tagged corpus in the framework of Rhetorical Structure Theory
SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16
Combining linguistic and structural descriptors for mining biomedical literature
Proceedings of the 2006 ACM symposium on Document engineering
A document engineering environment for clinical guidelines
Proceedings of the 2007 ACM symposium on Document engineering
Automatic keyphrase extraction from scientific documents using N-gram filtration technique
Proceedings of the eighth ACM symposium on Document engineering
Constructing a know-how repository of advices and warnings from procedural texts
Proceedings of the eighth ACM symposium on Document engineering
Summarization from medical documents: a survey
Artificial Intelligence in Medicine
Assessing the readability of clinical documents in a document engineering environment
Proceedings of the 10th ACM symposium on Document engineering
Semi-supervised discourse relation classification with structural learning
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Expressing conditions in tailored brochures for public administration
Proceedings of the 11th ACM symposium on Document engineering
A sequential model for discourse segmentation
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
A first approach to the automatic recognition of structural patterns in XML documents
Proceedings of the 2012 ACM symposium on Document engineering
Automatic generation of limited-depth hyper-documents from clinical guidelines
Proceedings of the 2013 ACM symposium on Document engineering
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In this paper, we extend previous work on the automatic structuring of medical documents using content analysis. Our 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. We have established in previous work that the structure of clinical guidelines could be refined through the identification of a limited set of deontic operators. We 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 application-specific mark-ups. Throughout the paper, we illustrate our findings through results produced by the automatic processing of English guidelines for the management of hypertension and Alzheimer disease.