Proceedings of the 6th Workshop on Argument MiningĪssociation for Computational Linguistics The annotated dataset that we produce provides the important knowledge needed for our ultimate goal of analyzing biochemistry articles.",Īnnotation of Rhetorical Moves in Biochemistry Articles 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. Our work also contributes to the understanding of argument-related annotation schemes. 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. We also propose a verb-centric frame semantics with an effective set of semantic roles in order to support the analysis. 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. Publisher = "Association for Computational Linguistics",Ībstract = "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. RHETORICAL MOVES MODSCite (Informal): Annotation of Rhetorical Moves in Biochemistry Articles (Alliheedi et al., 2019) Copy Citation: BibTeX Markdown MODS XML Endnote More options… PDF: = "Annotation of Rhetorical Moves in Biochemistry Articles",īooktitle = "Proceedings of the 6th Workshop on Argument Mining", Association for Computational Linguistics. In Proceedings of the 6th Workshop on Argument Mining, pages 113–123, Florence, Italy. Annotation of Rhetorical Moves in Biochemistry Articles. | WS SIG: Publisher: Association for Computational Linguistics Note: Pages: 113–123 Language: URL: DOI: 10.18653/v1/W19-4514 Bibkey: alliheedi-etal-2019-annotation Cite (ACL): Mohammed Alliheedi, Robert E. Anthology ID: W19-4514 Volume: Proceedings of the 6th Workshop on Argument Mining Month: August Year: 2019 Address: Florence, Italy Venues: ACL The annotated dataset that we produce provides the important knowledge needed for our ultimate goal of analyzing biochemistry articles. 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.
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