Zone analysis in biology articles as a basis for information extraction

Mizuta, Yoko; Korhonen, Anna; Mullen, Tony; Collier, Nigel

doi:10.1016/j.ijmedinf.2005.06.013

Cited by 71 publications

(77 citation statements)

References 6 publications

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“…Taking premises and conclusion as given, Feng and Hirst addressed the problem of recognizing the name of the argumentation scheme for the five most frequently occurring schemes of Walton et al (2008) Text with genetics content has been the object of study in some previous NLP research. Mizuta et al (2005) investigated automatic classification of information status of text segments in genetics journal articles. The Colorado Richly Annotated Full Text Corpus (CRAFT) contains 67 full-text articles on the mouse genome that have been linguistically annotated (Verspoor et al 2012) and annotated with concepts from standard biology ontologies (Bada et al 2012).…”

Section: Background and Related Workmentioning

confidence: 99%

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Identifying Argumentation Schemes in Genetics Research Articles

Green

2015

Proceedings of the 2nd Workshop on Argumentation Mining

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This paper presents preliminary work on identification of argumentation schemes, i.e., identifying premises, conclusion and name of argumentation scheme, in arguments for scientific claims in genetics research articles. The goal is to develop annotation guidelines for creating corpora for argumentation mining research. This paper gives the specification of ten semantically distinct argumentation schemes based on analysis of argumentation in several journal articles. In addition, it presents an empirical study on readers' ability to recognize some of the argumentation schemes.

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Section: Background and Related Workmentioning

confidence: 99%

“…Previous NLP research on scientific discourse (e.g. Mizuta et al 2005;Teufel 2010;Liakata 2012a) has focused on recognizing information status (hypothesis, background knowledge, new knowledge claim, etc.) but has not addressed deeper argumentation analysis.…”

Section: Introductionmentioning

confidence: 99%

Identifying Argumentation Schemes in Genetics Research Articles

Green

2015

Proceedings of the 2nd Workshop on Argumentation Mining

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“…Many of these approaches have used Semantic Web standards as the data representation model for arguments. Examples include ScholOnto [6], works presented in [14] and [45], AIF and SALT.…”

Section: Applications Of Argument Schemesmentioning

confidence: 99%

“…The discourse representation model proposed by de Waard and Tel [14] has an arrangement they call rhetorical block structure for scientific publications. The same authors have enriched the initial model by identifying seven basic discourse segment types: Fact, Hypothesis, Goal, Method, Result, Implication, and Problem which correspond to the ones defined by Mizuta et al [45], who performed an automatic extraction of epistemic items using automated techniques based on argumentative zoning, in a corpus of biomedical texts.…”

Section: Applications Of Argument Schemesmentioning

confidence: 99%

Ontological representations of rhetorical figures for argument mining

Mitrović

O'Reilly

Mladenović

et al. 2017

AAC

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Abstract. This paper surveys ontological modeling of rhetorical concepts, developed for use in argument mining and other applications of computational rhetoric, projecting their future directions. We include ontological models of argument schemes applying Rhetorical Structure Theory (RST); the RhetFig proposal for modeling; the related RetFig Ontology of Rhetorical Figures for Serbian (developed by two of the authors); and the Lassoing Rhetoric project (developed by another of the authors). The Lassoing Rhetoric venture is interesting for its multifaceted approach to linguistic devices, prominently including rhetorical figures, but also RST relations and stylistic models, like the use of historic present. This application takes a natural language text input and uses syntactic parsing tools to produce a knowledge base of linguistic entities using references to an OWL ontological framework, locating these devices using Semantic Web Rule Language (SWRL) logic rules. The paper also reports on a similar approach in research into detecting ironic tweets in a Serbian twitter corpus. The rhetorical schemes used for argument mining are also presented, as well as some suggestions for novel argument schemes based on the ontological approach to rhetorical figuration.

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“…Using the term "argument" in a related but different sense than here, researchers have investigated annotation of scientific abstracts and full-text articles (e.g. Teufel, 2002;Mizuta et al, 2005;Liakata et al, 2012). However, the annotated corpora they have created are not designed for argumentation mining in the above sense.…”

Section: Introductionmentioning

confidence: 99%

Towards Creation of a Corpus for Argumentation Mining the Biomedical Genetics Research Literature

Green

2014

Proceedings of the First Workshop on Argumentation Mining

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Argumentation mining involves automatically identifying the premises, conclusion, and type of each argument as well as relationships between pairs of arguments in a document. We describe our plan to create a corpus from the biomedical genetics research literature, annotated to support argumentation mining research. We discuss the argumentation elements to be annotated, theoretical challenges, and practical issues in creating such a corpus.

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Zone analysis in biology articles as a basis for information extraction

Cited by 71 publications

References 6 publications

Identifying Argumentation Schemes in Genetics Research Articles

Identifying Argumentation Schemes in Genetics Research Articles

Ontological representations of rhetorical figures for argument mining

Towards Creation of a Corpus for Argumentation Mining the Biomedical Genetics Research Literature

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