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A Corpus of Clinical Practice Guidelines Annotated with the Importance of Recommendations

Read, Jonathon and Velldal, Erik and Cavazza, Marc and Georg, Gersende (2016) A Corpus of Clinical Practice Guidelines Annotated with the Importance of Recommendations. In: LREC 2016 Tenth International Conference on Language Resources and Evaluation. European Language Resources Association. ISBN 978-2-9517408-9-1. (KAR id:56685)

Abstract

In this paper we present the Corpus of REcommendation STrength (CREST), a collection of HTML-formatted clinical guidelines annotated with the location of recommendations. Recommendations are labelled with an author-provided indicator of their strength of importance. As data was drawn from many disparate authors, we define a unified scheme of importance labels, and provide a mapping for each guideline. We demonstrate the utility of the corpus and its annotations in some initial measurements investigating the type of language constructions associated with strong and weak recommendations, and experiments into promising features for recommendation classification, both with respect to strong and weak labels, and to all labels of the unified scheme. An error analysis indicates that, while there is a strong relationship between lexical choices and strength labels, there can be substantial variance in the choices made by different authors.

Item Type: Book section
Uncontrolled keywords: Corpus annotation, Extra-propositional aspects of meaning, Normalised Pointwise Mutual Information, Support Vector Machines
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Marc Cavazza
Date Deposited: 29 Jul 2016 00:13 UTC
Last Modified: 16 Feb 2021 13:36 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/56685 (The current URI for this page, for reference purposes)

University of Kent Author Information

Cavazza, Marc.

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