Automated categorisation of patent claims that reference human genome sequences

Donglu Wang; Gabriela Ferraro; Hanna Suominen; Osmat A. Jefferson

doi:10.1145/2682862.2682872

Automated categorisation of patent claims that reference human genome sequences

Donglu Wang, Gabriela Ferraro, Hanna Suominen, Osmat A. Jefferson

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

1 Citation (Scopus)

Abstract

Debates on gene patents have necessitated the analysis of patents that disclose and reference human sequences. In this study, we built an automated classifier that assigns sequences to one of nine predefined categories according to their functional roles in patent claims by applying natural language processing and supervised learning techniques. To improve its correctness, we experimented with various feature mappings, resulting in the maximal accuracy of 79%.

Original language	English
Title of host publication	ADCS 2014 - Proceedings of the 19th Australasian Document Computing Symposium
Editors	Laurence Park, Guido Zuccon, J. Shane Culpepper
Publisher	Association for Computing Machinery
Pages	117-120
Number of pages	4
ISBN (Electronic)	9781450330008
DOIs	https://doi.org/10.1145/2682862.2682872
Publication status	Published - 26 Nov 2014
Event	19th Australasian Document Computing Symposium, ADCS 2014 - Melbourne, Australia Duration: 27 Nov 2014 → 28 Nov 2014

Publication series

Name	ACM International Conference Proceeding Series
Volume	27-28-November-2014

Conference

Conference	19th Australasian Document Computing Symposium, ADCS 2014
Country/Territory	Australia
City	Melbourne
Period	27/11/14 → 28/11/14

Access to Document

10.1145/2682862.2682872

Cite this

Wang, D., Ferraro, G., Suominen, H., & Jefferson, O. A. (2014). Automated categorisation of patent claims that reference human genome sequences. In L. Park, G. Zuccon, & J. S. Culpepper (Eds.), ADCS 2014 - Proceedings of the 19th Australasian Document Computing Symposium (pp. 117-120). (ACM International Conference Proceeding Series; Vol. 27-28-November-2014). Association for Computing Machinery. https://doi.org/10.1145/2682862.2682872

Wang, Donglu ; Ferraro, Gabriela ; Suominen, Hanna et al. / Automated categorisation of patent claims that reference human genome sequences. ADCS 2014 - Proceedings of the 19th Australasian Document Computing Symposium. editor / Laurence Park ; Guido Zuccon ; J. Shane Culpepper. Association for Computing Machinery, 2014. pp. 117-120 (ACM International Conference Proceeding Series).

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title = "Automated categorisation of patent claims that reference human genome sequences",

abstract = "Debates on gene patents have necessitated the analysis of patents that disclose and reference human sequences. In this study, we built an automated classifier that assigns sequences to one of nine predefined categories according to their functional roles in patent claims by applying natural language processing and supervised learning techniques. To improve its correctness, we experimented with various feature mappings, resulting in the maximal accuracy of 79%.",

keywords = "Human Genome Sequences, Natural Language Processing, Patent Claim Analysis, Supervised Classification",

author = "Donglu Wang and Gabriela Ferraro and Hanna Suominen and Jefferson, {Osmat A.}",

year = "2014",

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day = "26",

doi = "10.1145/2682862.2682872",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

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Wang, D, Ferraro, G , Suominen, H & Jefferson, OA 2014, Automated categorisation of patent claims that reference human genome sequences. in L Park, G Zuccon & JS Culpepper (eds), ADCS 2014 - Proceedings of the 19th Australasian Document Computing Symposium. ACM International Conference Proceeding Series, vol. 27-28-November-2014, Association for Computing Machinery, pp. 117-120, 19th Australasian Document Computing Symposium, ADCS 2014, Melbourne, Australia, 27/11/14. https://doi.org/10.1145/2682862.2682872

Automated categorisation of patent claims that reference human genome sequences. / Wang, Donglu; Ferraro, Gabriela ; Suominen, Hanna et al.
ADCS 2014 - Proceedings of the 19th Australasian Document Computing Symposium. ed. / Laurence Park; Guido Zuccon; J. Shane Culpepper. Association for Computing Machinery, 2014. p. 117-120 (ACM International Conference Proceeding Series; Vol. 27-28-November-2014).

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

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N2 - Debates on gene patents have necessitated the analysis of patents that disclose and reference human sequences. In this study, we built an automated classifier that assigns sequences to one of nine predefined categories according to their functional roles in patent claims by applying natural language processing and supervised learning techniques. To improve its correctness, we experimented with various feature mappings, resulting in the maximal accuracy of 79%.

AB - Debates on gene patents have necessitated the analysis of patents that disclose and reference human sequences. In this study, we built an automated classifier that assigns sequences to one of nine predefined categories according to their functional roles in patent claims by applying natural language processing and supervised learning techniques. To improve its correctness, we experimented with various feature mappings, resulting in the maximal accuracy of 79%.

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Wang D, Ferraro G , Suominen H, Jefferson OA. Automated categorisation of patent claims that reference human genome sequences. In Park L, Zuccon G, Culpepper JS, editors, ADCS 2014 - Proceedings of the 19th Australasian Document Computing Symposium. Association for Computing Machinery. 2014. p. 117-120. (ACM International Conference Proceeding Series). doi: 10.1145/2682862.2682872

Automated categorisation of patent claims that reference human genome sequences

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