@inproceedings{e0240418b9a1432ebe6b556198848b98,
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",
month = nov,
day = "26",
doi = "10.1145/2682862.2682872",
language = "English",
isbn = "9781450330008",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery (ACM)",
pages = "117--120",
editor = "Culpepper, {J Shane} and Laurence Park and Guido Zuccon",
booktitle = "ADCS 2014 - Proceedings of the 19th Australasian Document Computing Symposium",
address = "United States",
note = "19th Australasian Document Computing Symposium, ADCS 2014 ; Conference date: 27-11-2014 Through 28-11-2014",
}