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- W1999612496 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%." @default.
- W1999612496 created "2016-06-24" @default.
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- W1999612496 date "2014-11-26" @default.
- W1999612496 modified "2023-09-27" @default.
- W1999612496 title "Automated Categorisation of Patent Claims that Reference Human Genome Sequences" @default.
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- W1999612496 doi "https://doi.org/10.1145/2682862.2682872" @default.
- W1999612496 hasPublicationYear "2014" @default.
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