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dc.contributor.authorNand, P
dc.contributor.authorPerera, R
dc.contributor.authorLal, R
dc.date.accessioned2015-04-21T03:07:28Z
dc.date.available2015-04-21T03:07:28Z
dc.date.copyright2014
dc.identifier.citationPublished in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol.8862, pp.157 - 169
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/10292/8597
dc.description.abstractThe high volume of communication via micro-blogging type messages has created an increased demand for text processing tools customised the unstructured text genre. The available text processing tools developed on structured texts has been shown to deteriorate significantly when used on unstructured, micro-blogging type texts. In this paper, we present the results of testing a HMM based POS (Part-Of-Speech) tagging model customized for unstructured texts. We also evaluated the tagger against published CRF based state-of-the-art POS tagging models customized for Tweet messages using three publicly available Tweet corpora. Finally, we did cross-validation tests with both the taggers by training them on one Tweet corpus and testing them on another one.
dc.publisherSpringer Verlag
dc.relation.urihttp://dx.doi.org/10.1007/978-3-319-13560-1_13
dc.rightsAn author may self-archive an author-created version of his/her article on his/her own website and or in his/her institutional repository. He/she may also deposit this version on his/her funder’s or funder’s designated repository at the funder’s request or as a result of a legal obligation, provided it is not made publicly available until 12 months after official publication. He/ she may not use the publisher's PDF version, which is posted on www.springerlink.com, for the purpose of self-archiving or deposit. Furthermore, the author may only post his/her version provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at www.springerlink.com”. (Please also see Publisher’s Version and Citation).
dc.titleA HMM POS Tagger for Micro-blogging Type Texts
dc.typeConference Contribution
dc.rights.accessrightsOpenAccess
dc.identifier.doi10.1007/978-3-319-13560-1
aut.relation.endpage169
aut.relation.startpage157
aut.relation.volume8862
pubs.elements-id176974


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