The structure of argument: Semantic mapping of US supreme court cases

Fionn Murtagh; Mohsen Farid

doi:10.1007/978-3-319-17091-6_34

The structure of argument: Semantic mapping of US supreme court cases

Fionn Murtagh, Mohsen Farid

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We semantically map out the flow of the narrative involved in a United States Supreme Court case. Our objective is both the static analysis of semantics but, more so, the trajectory of argument. This includes consideration of those who are involved, the Justices and the Attorneys. We study therefore the flow of argument. Geometrical (metric, latent semantic) and topological (ultrametric, hierarchical) analyses are used in our analytics.

Original language	English
Title of host publication	Statistical Learning and Data Sciences SLDS 2015
Editors	Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos
Publisher	Springer Verlag
Pages	397-405
Number of pages	9
ISBN (Print)	9783319170909
DOIs	https://doi.org/10.1007/978-3-319-17091-6_34
Publication status	Published - 3 Apr 2015
Externally published	Yes
Event	3rd International Symposium on Statistical Learning and Data Sciences - University of London, Egham, United Kingdom Duration: 20 Apr 2015 → 23 Apr 2015 Conference number: 3 http://www.clrc.rhul.ac.uk/slds2015/ (Link to Conference Website)

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9047
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Symposium on Statistical Learning and Data Sciences
Abbreviated title	SLDS 2015
Country/Territory	United Kingdom
City	Egham
Period	20/04/15 → 23/04/15
Internet address	http://www.clrc.rhul.ac.uk/slds2015/ (Link to Conference Website)

Access to Document

10.1007/978-3-319-17091-6_34Licence: Unspecified

Cite this

Murtagh, F., & Farid, M. (2015). The structure of argument: Semantic mapping of US supreme court cases. In A. Gammerman, V. Vovk, & H. Papadopoulos (Eds.), Statistical Learning and Data Sciences SLDS 2015 (pp. 397-405). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9047). Springer Verlag. https://doi.org/10.1007/978-3-319-17091-6_34

Murtagh, Fionn ; Farid, Mohsen. / The structure of argument : Semantic mapping of US supreme court cases. Statistical Learning and Data Sciences SLDS 2015. editor / Alexander Gammerman ; Vladimir Vovk ; Harris Papadopoulos. Springer Verlag, 2015. pp. 397-405 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "We semantically map out the flow of the narrative involved in a United States Supreme Court case. Our objective is both the static analysis of semantics but, more so, the trajectory of argument. This includes consideration of those who are involved, the Justices and the Attorneys. We study therefore the flow of argument. Geometrical (metric, latent semantic) and topological (ultrametric, hierarchical) analyses are used in our analytics.",

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Murtagh, F & Farid, M 2015, The structure of argument: Semantic mapping of US supreme court cases. in A Gammerman, V Vovk & H Papadopoulos (eds), Statistical Learning and Data Sciences SLDS 2015. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9047, Springer Verlag, pp. 397-405, 3rd International Symposium on Statistical Learning and Data Sciences, Egham, United Kingdom, 20/04/15. https://doi.org/10.1007/978-3-319-17091-6_34

The structure of argument : Semantic mapping of US supreme court cases. / Murtagh, Fionn; Farid, Mohsen.

Statistical Learning and Data Sciences SLDS 2015. ed. / Alexander Gammerman; Vladimir Vovk; Harris Papadopoulos. Springer Verlag, 2015. p. 397-405 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9047).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - We semantically map out the flow of the narrative involved in a United States Supreme Court case. Our objective is both the static analysis of semantics but, more so, the trajectory of argument. This includes consideration of those who are involved, the Justices and the Attorneys. We study therefore the flow of argument. Geometrical (metric, latent semantic) and topological (ultrametric, hierarchical) analyses are used in our analytics.

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KW - Latent semantic analysis

KW - Metric and ultrametric mapping

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Murtagh F, Farid M. The structure of argument: Semantic mapping of US supreme court cases. In Gammerman A, Vovk V, Papadopoulos H, editors, Statistical Learning and Data Sciences SLDS 2015. Springer Verlag. 2015. p. 397-405. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-17091-6_34

The structure of argument: Semantic mapping of US supreme court cases

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