Named entity extraction and classification in digital publications

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dc.contributor.author Wu, CY en
dc.contributor.author Lee, BY en
dc.contributor.author Sun, Jing en
dc.contributor.author Latt, Yin Yin en
dc.contributor.author Shepherd, K en
dc.contributor.author Watts, J en
dc.date.accessioned 2018-10-18T01:36:34Z en
dc.date.issued 2017-01-01 en
dc.identifier.isbn 1891706411 en
dc.identifier.issn 2325-9000 en
dc.identifier.uri http://hdl.handle.net/2292/42805 en
dc.description.abstract This paper describes the design and implementation of a PDF extraction tool, which provides the functionalities of meta-data creation, bibliography extraction, HTML conversion and key phrase classification. Evaluation results showed high accuracy rates and good performance measurements. en
dc.relation.ispartofseries Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Named entity extraction and classification in digital publications en
dc.type Conference Item en
dc.identifier.doi 10.18293/SEKE2017-132 en
pubs.begin-page 626 en
dc.rights.holder Copyright: The author en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.elements-id 676218 en
pubs.org-id Science en
pubs.org-id School of Computer Science en
dc.identifier.eissn 2325-9086 en


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