dc.contributor.authorNguyen, Tam T.
dc.contributor.authorChang, Kuiyu
dc.contributor.authorHui, Siu Cheung
dc.date.accessioned2013-07-25T07:37:53Z
dc.date.available2013-07-25T07:37:53Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.citationNguyen, T. T., Chang, K., & Hui, S. C. (2012). A math-aware search engine for math question answering system. Proceedings of the 21st ACM international conference on Information and knowledge management.en_US
dc.identifier.urihttp://hdl.handle.net/10220/12277
dc.description.abstractWe propose a math-aware search engine that is capable of handling both textual keywords as well as mathematical expressions. Our math feature extraction and representation framework captures the semantics of math expressions via a Finite State Machine model. We adapt the passive aggressive online learning binary classifier as the ranking model. We benchmarked our approach against three classical information retrieval (IR) strategies on math documents crawled from Math Over ow, a well-known online math question answering system. Experimental results show that our proposed approach can perform better than other methods by more than 9%.en_US
dc.language.isoenen_US
dc.rights© 2012 ACM.en_US
dc.titleA math-aware search engine for math question answering systemen_US
dc.typeConference Paper
dc.contributor.conferenceInternational conference on Information and knowledge management (21st : 2012 : Maui, USA)en_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1145/2396761.2396854


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