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dc.contributor.authorCOHN, TREVORen_US
dc.contributor.authorSMITH, ANDREWen_US
dc.contributor.authorOSBORNE, MILESen_US
dc.date.accessioned2014-05-22T10:18:47Z
dc.date.available2014-05-22T10:18:47Z
dc.date.issued2005en_US
dc.date.submitted2005-05-23en_US
dc.identifier.citationCohn, T., Smith, A., & Osborne, M. (2005). Scaling conditional random fields using error correcting codes. In, Proceedings, 43rd Annual Meeting of the Association for Computational Linguists, Ann Arbor, Michigan.en_US
dc.identifier.urihttp://hdl.handle.net/11343/33831
dc.description.abstractConditional Random Fields (CRFs) have been applied with considerable success to a number of natural language processing tasks. However, these tasks have mostly involved very small label sets. When deployed on tasks with larger label sets, the requirements for computational resources mean that training becomes intractable. This paper describes a method for training CRFs on such tasks, using error correcting output codes (ECOC). A number of CRFs are independently trained on the separate binary labelling tasks of distinguishing between a subset of the labels and its complement. During decoding, these models are combined to produce a predicted label sequence which is resilient to errors by individual models. Error-correcting CRF training is much less resource intensive and has a much faster training time than a standardly formulated CRF, while decoding performance remains quite comparable. This allows us to scale CRFs to previously impossible tasks, as demonstrated by our experiments with large label sets.en_US
dc.formatapplication/pdfen_US
dc.languageengen_US
dc.subjecterror-correcting codesen_US
dc.subjectmachine learningen_US
dc.subjectnamed entity recognitionen_US
dc.subjectnatural lanuagage processingen_US
dc.subjectpart of speech taggingen_US
dc.subjectnoun phrase chunkingen_US
dc.titleScaling conditional random fields using error correcting codesen_US
dc.typeConference Paperen_US
melbourne.peerreviewPeer Revieweden_US
melbourne.affiliation.departmentEngineering: Department of Computer Science and Software Engineeringen_US
melbourne.publication.statusInpressen_US
melbourne.source.titleProceedings, 43rd Annual Meeting of the Association for Computational Linguistsen_US
melbourne.source.locationconferenceAnn Arbor, Michiganen_US
dc.description.sourcedateJune 2005en_US
melbourne.elementsidNA
melbourne.contributor.authorCohn, Trevor
melbourne.accessrightsOpen Access


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