This article presents an architecture for natural language generation of biomedical argumentation. The goal is to reconstruct the normative arguments that a domain expert would provide, in a manner that is transparent to a lay audience. Transparency means that an argument's structure and functional components are accessible to its audience. Transparency is necessary before an audience can fully comprehend, evaluate or challenge an argument, or re-evaluate it in light of new findings about the case or changes in scientific knowledge. The (...) architecture has been implemented and evaluated in the Genetics Information Expression Assistant, a prototype system for drafting genetic counselling patient letters. Argument generation makes use of abstract argumentation schemes. Derived from the analysis of arguments used in genetic counselling, these mainly causal argument patterns refer to abstract properties of qualitative causal domain models. (shrink)

There is a driving need computationally to interrogate large bodies of text for a range of non-denotative meaning (e.g., to plot chains of reasoning, detect sentiment, diagnose genre, and so forth)...

As genetic testing for the presence of potentially health-affecting mutations becomes available for more genetic conditions, many people will soon be faced with the decision of whether or not to have a genetic test. Making an informed decision requires an understanding and evaluation of the arguments for and against having the test. As a case in point, this paper considers argumentation involving the decision of whether to have a BRCA gene test, one of the first commercially available genetic tests. First, (...) argumentation in a five-page patient brochure from a for-profit company that provides BRCA gene testing, is analyzed. Next, for comparison, argumentation on BRCA testing in materials for healthcare consumers written by a not-for-profit health plan and a government organization, is analyzed. In view of the challenges identified by considering these examples, this article discusses how argumentation-oriented computer systems may be able to help the healthcare consumer to make informed decisions about genetic testing. (shrink)

Various argumentation analysis tools permit the analyst to represent functional components of an argument (e.g., data, claim, warrant, backing), how arguments are composed of subarguments and defenses against potential counterarguments, and argumentation schemes. In order to facilitate a study of argument presentation in a biomedical corpus, we have developed a hybrid scheme that enables an analyst to encode argumentation analysis within the framework of Rhetorical Structure Theory (RST), which can be used to represent the discourse structure of a text. This (...) paper describes the hybrid representation scheme and illustrates its use for investigation of contexts that license omission of elements of an argument. The analyses given in the paper involve reconstruction of enthymemes. Defeasible argumentation schemes serve as a constraint on reconstruction. In addition, the examples illustrate several other types of contextual constraints on reconstruction of enthymemes. (shrink)

Critical thinking about international politics often involves reasoning about the beliefs, goals, appraisals, actions, and plans of actors such as countries, governments, politicians, etc. We analy...

Diligent citizens must critically analyze arguments for science policy recommendations, such as cutting greenhouse gas emissions or growing genetically modified food crops. Science policy articles present arguments for and against such recommendations using scientific evidence and rhetorical devices. In this paper we present an in-depth analysis of argumentation and rhetorical devices in two journal articles on climate change issues. One objective was to gain a better understanding of use of rhetorical devices in this genre, as a prerequisite for designing and (...) building a rhetorically-annotated digital corpus of full-text science policy articles. The near term objective was to inform the design of pedagogical tools to help students analyze science policy arguments. (shrink)

The dominant approach to argument mining has been to treat it as a machine learning problem based upon superficial text features, and to treat the relationships between arguments as either support...