@conference {17827,
	title = {Annotation of Rhetorical Moves in Biochemistry Articles},
	booktitle = {Workshop on Argument Mining collocated with ACL 2019},
	year = {2019},
	month = {1 August 2019},
	pages = {113--123},
	publisher = {Association for Computational Linguistics},
	organization = {Association for Computational Linguistics},
	address = {6th Workshop on Argument Mining, Florence, Italy},
	abstract = {This paper focuses on the real world application of scientific writing and on determining rhetorical moves, an important step in establishing the argument structure of biomedical articles. Using the observation that the structure of scholarly writing in laboratory-based experimental sciences closely follows laboratory procedures, we examine most closely the Methods section of the texts and adopt an approach of identifying rhetorical moves that are procedure-oriented. We also propose a verb-centric frame semantics with an effective set of semantic roles in order to support the analysis. These components are designed to support a computational model that extends a promising proposal of appropriate rhetorical moves for this domain, but one which is merely descriptive. Our work also contributes to the understanding of argument-related annotation schemes. In particular, we conduct a detailed study with human annotators to confirm that our selection of semantic roles is effective in determining the underlying rhetorical structure of existing biomedical articles in an extensive dataset. The annotated dataset that we produce provides the important knowledge needed for our ultimate goal of analyzing biochemistry articles.},
	url = {https://www.aclweb.org/anthology/W19-4514},
	author = {Mohammed Alliheedi and Robert E. Mercer and Robin Cohen}
}
