Procedurally Rhetorical Verb-Centric Frame Semantics as a Knowledge Representation for Argumentation Analysis of Biochemistry Articles
Abstract
The central focus of this thesis is rhetorical moves in biochemistry
articles. Kanoksilapatham has provided a descriptive theory of
rhetorical moves that extends Swales' CARS model to the complete
biochemistry article. The thesis begins the construction of a computational
model of this descriptive theory. Attention is placed on the Methods
section of the articles. We hypothesize that because authors' argumentation
closely follows their experimental procedure, procedural verbs may
be the guide to understanding the rhetorical moves. Our work proposes
an extension to the normal (i.e., VerbNet) semantic roles especially
tuned to this domain. A major contribution is a corpus of Method sections
that have been marked up for rhetorical moves and semantic roles.
The writing style of this genre tends to occasionally omit semantic
roles, so another important contribution is a prototype ontology
that provides experimental procedure knowledge for the biochemistry
domain. Our computational model employs machine learning to build its
models for the semantic roles and rhetorical moves, validated against
a gold standard reflecting the annotation of these texts by human experts.
We provide significant insights into how to derive these annotations,
and as such have contributions as well to
the general challenge of producing markups in the domain
of biomedical science documents, where specialized knowledge is required.
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Cite this version of the work
Mohammed Alliheedi
(2019).
Procedurally Rhetorical Verb-Centric Frame Semantics as a Knowledge Representation for Argumentation Analysis of Biochemistry Articles. UWSpace.
http://hdl.handle.net/10012/15021
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