Using latent semantic indexing for information filtering
COCS '90 Proceedings of the ACM SIGOIS and IEEE CS TC-OA conference on Office information systems
A stemming procedure and stopword list for general French corpora
Journal of the American Society for Information Science
Readability formulas have even more limitations than Klare discusses
ACM Journal of Computer Documentation (JCD)
Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
Disambiguating noun compounds with latent semantic indexing
COMPUTERM '02 COLING-02 on COMPUTERM 2002: second international workshop on computational terminology - Volume 14
A document engineering environment for clinical guidelines
Proceedings of the 2007 ACM symposium on Document engineering
Towards Brazilian Portuguese automatic text simplification systems
Proceedings of the eighth ACM symposium on Document engineering
Proceedings of the 9th ACM symposium on Document engineering
Analysing Clinical Guidelines' Contents with Deontic and Rhetorical Structures
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Automatic generation of limited-depth hyper-documents from clinical guidelines
Proceedings of the 2013 ACM symposium on Document engineering
| Hi-index | 0.00 |
Previous work has established that specific linguistic markers present in specialised medical documents (clinical guidelines) can be used to support their automatic structuring within a document engineering environment. This technique is commonly used by the French Health Authority (la Haute Autorite de Sante) during elaboration of clinical guidelines to improve the quality of the final document. In this paper, we explore the readability of clinical guidelines. We discuss a structural measure of document readability that exploits the ratio between these linguistic markers (deontic structures) and the remainder of the text. We describe an experiment in which a corpus of 10 French clinical guidelines is scored for structural readability. We correlate these scores with measures of textual cohesion (computed using latent semantic analysis) and the results of a readability survey performed by a panel of domain experts. Our results suggest an association between the density of deontic structures in a clinical guideline and its overall readability. This implies that certain generic readability measures can henceforth be utilised in our document engineering environment.