Automated categorisation of patent claims that reference human genome sequences
| Contribuinte(s) |
Culpepper, J Park, L Zuccon, G |
|---|---|
| Data(s) |
2014
|
| Resumo |
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%. |
| Identificador | |
| Publicador |
Association for Computing Machinery |
| Relação |
DOI:10.1145/2682862.2682872 Wang, Donglu, Ferraro, Gabriela, Suominen, Hanna, & Jefferson, Osmat Azzam (2014) Automated categorisation of patent claims that reference human genome sequences. In Culpepper, J, Park, L, & Zuccon, G (Eds.) Proceedings of the 2014 Australasian Document Computing Symposium, 27 - 28 November, 2014, Australia. |
| Fonte |
School of Information Systems; Science & Engineering Faculty |
| Tipo |
Conference Paper |
