Abstract
Scholarly writing in the experimental biomedical sciences follows the IMRaD (Introduction, Methods, Results, and Discussion) structure. Many Biomedical Natural Language Processing tasks take advantage of this structure. The task of interest in this paper is the identification of semantic roles of procedural verbs as a first step toward identifying rhetorical moves, text segments that are rhetorical and perform specific communicative goals, in the Methods section. Based on a descriptive taxonomy of rhetorical moves structured around IMRaD, the foundational linguistic knowledge needed for a computationally feasible model of the rhetorical moves is described: semantic roles. Using the observation that the structure of scholarly writing in the laboratory-based experimental sciences closely follows the laboratory procedures, we focus on the procedural verbs in the Methods section. Our goal is to provide FrameNet and VerbNet-like information for the specialized domain of biochemistry. This paper presents the semantic roles required to achieve this goal.
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Notes
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Experimental articles in the biomedical sciences normally organized in the IMRaD style: Introduction, Methods, Results, and Discussion.
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References
Baker, C.F., Fillmore, C.J., Lowe, J.B.: The Berkeley FrameNet project. In: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Stroudsburg, PA, USA, vol. 1, pp. 86–90 (1998)
Biber, D.: Variation Across Speech and Writing. Cambridge University Press, Cambridge (1988)
Cohen, J.: A coefficient of agreement for nominal scales. Educ. Psychol. Meas. 20(1), 37–46 (1960)
Fillmore, C.J.: Frame semantics and the nature of language*. Ann. N. Y. Acad. Sci. 280(1), 20–32 (1976)
Green, N.: Towards creation of a corpus for argumentation mining the biomedical genetics research literature. In: Proceedings of the First Workshop on Argumentation Mining, Baltimore, Maryland, pp. 11–18 (2014)
Green, N.L.: Identifying argumentation schemes in genetics research articles. In: Proceedings of the Second Workshop on Argumentation mining, North American Conference of the Association for Computational Linguistics (NAACL), Denver, CO, USA, pp. 12–21 (2015)
Kanoksilapatham, B.: A corpus-based investigation of scientific research articles: Linking move analysis with multidimensional analysis. Ph.D. thesis, Georgetown University, Washington, USA (2003). http://202.28.199.34/multim/3107368.pdf
Landis, J.R., Koch, G.G.: The measurement of observer agreement for categorical data. Biometrics 33, 159–174 (1977)
McHugh, M.L.: Interrater reliability: the kappa statistic. Biochem. Med. Biochem. Med. 22(3), 276–282 (2012)
Mizuta, Y., Korhonen, A., Mullen, T., Collier, N.: Zone analysis in biology articles as a basis for information extraction. Int. J. Med. Inform. 75(6), 468–487 (2006)
Palmer, M., Gildea, D., Kingsbury, P.: The proposition bank: an annotated corpus of semantic roles. Comput. Linguist. 31(1), 71–106 (2005)
Schuler, K.K.: VerbNet: a broad-coverage, comprehensive verb lexicon, Doctoral dissertation, University of Pennsylvania, Philadelphia, PA, USA (2005). http://dl.acm.org/citation.cfm?id=1104493
Swales, J.: Genre Analysis: English in Academic and Research Settings. Cambridge University Press, Cambridge (1990)
Teufel, S., Carletta, J., Moens, M.: An annotation scheme for discourse-level argumentation in research articles. In: Proceedings of the Ninth Conference on European Chapter of the Association for Computational Linguistics, Stroudsburg, PA, USA, pp. 110–117 (1999)
Teufel, S.: The Structure of Scientific Articles: Applications to Citation Indexing and Summarization. Center for the Study of Language and Information (2010)
Thompson, P., et al.: Building a bio-event annotated corpus for the acquisition of semantic frames from biomedical corpora. In: Proceedings of the Sixth International Language Resources and Evaluation (LREC), European Language Resources Association (ELRA), Marrakech, Morocco (2008)
Thompson, P., Nawaz, R., McNaught, J., Ananiadou, S.: Enriching a biomedical event corpus with meta-knowledge annotation. BMC Bioinform. 12, 393 (2011)
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Alliheedi, M., Mercer, R.E. (2019). Semantic Roles: Towards Rhetorical Moves in Writing About Experimental Procedures. In: Meurs, MJ., Rudzicz, F. (eds) Advances in Artificial Intelligence. Canadian AI 2019. Lecture Notes in Computer Science(), vol 11489. Springer, Cham. https://doi.org/10.1007/978-3-030-18305-9_54
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