Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26709
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dc.contributor.authorDashtipour, Kiaen_UK
dc.contributor.authorGogate, Mandaren_UK
dc.contributor.authorAdeel, Ahsanen_UK
dc.contributor.authorAlgarafi, Abdulrahmanen_UK
dc.contributor.authorHoward, Newtonen_UK
dc.contributor.authorHussain, Amiren_UK
dc.contributor.editorHoward, Nen_UK
dc.contributor.editorWang, Yen_UK
dc.contributor.editorHussain, Aen_UK
dc.contributor.editorWidrow, Ben_UK
dc.contributor.editorZadeh, LAen_UK
dc.date.accessioned2018-02-16T01:16:22Z-
dc.date.available2018-02-16T01:16:22Z-
dc.date.issued2017-11-16en_UK
dc.identifier.urihttp://hdl.handle.net/1893/26709-
dc.description.abstractNamed Entity Recognition (NER) is an important natural language processing (NLP) tool for information extraction and retrieval from unstructured texts such as newspapers, blogs and emails. NER involves processing unstructured text for classification of words or expressions into relevant categories. In literature, NER has been developed for various languages but limited work has been conducted to develop NER for Persian text. This is due to limited resources (such as corpus, lexicons etc.) and tools for Persian named entities. In this paper, a novel scalable system for Persian Named Entity Recognition (PNER) is presented. The proposed PNER can recognize and extract three most important named entities in Persian script: the person name, location and date. The proposed PNER has been developed by combining a grammatical rule-based approach with machine learning. The proposed framework has integrated dictionaries of Persian named entities, Persian grammar rules and a Support Vector Machine (SVM). The performance evaluation of PNER in terms of precision, recall and f-measure has achieved comparable results with the state-of-the-art NER frameworks in other languages.en_UK
dc.language.isoenen_UK
dc.publisherInstitute of Electrical and Electronics Engineers Incen_UK
dc.relationDashtipour K, Gogate M, Adeel A, Algarafi A, Howard N & Hussain A (2017) Persian Named Entity Recognition. In: Howard N, Wang Y, Hussain A, Widrow B & Zadeh L (eds.) 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). 978-1-5386-0772-5. 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Oxford, 26.07.2017-28.07.2017. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc, pp. 79-83. https://doi.org/10.1109/ICCI-CC.2017.8109733en_UK
dc.relation.ispartofseries978-1-5386-0772-5en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.subjectNatural language processingen_UK
dc.subjectDictionariesen_UK
dc.subjectSupport vector machinesen_UK
dc.subjectHandheld computersen_UK
dc.subjectToolsen_UK
dc.subjectGrammaren_UK
dc.subjectText recognitionen_UK
dc.titlePersian Named Entity Recognitionen_UK
dc.typeConference Paperen_UK
dc.rights.embargodate2999-09-01en_UK
dc.rights.embargoreason[08109733.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1109/ICCI-CC.2017.8109733en_UK
dc.citation.spage79en_UK
dc.citation.epage83en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailkia.dashtipour@stir.ac.uken_UK
dc.citation.btitle2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)en_UK
dc.citation.conferencedates2017-07-26 - 2017-07-28en_UK
dc.citation.conferencelocationOxforden_UK
dc.citation.conferencename2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)en_UK
dc.citation.date31/07/2017en_UK
dc.citation.isbn978-1-5386-0771-8en_UK
dc.publisher.addressPiscataway, NJ, USAen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationUniversity of Stirlingen_UK
dc.contributor.affiliationUniversity of Oxforden_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.scopusid2-s2.0-85040541162en_UK
dc.identifier.wtid498355en_UK
dc.contributor.orcid0000-0001-8651-5117en_UK
dc.contributor.orcid0000-0003-1712-9014en_UK
dc.contributor.orcid0000-0002-8080-082Xen_UK
dc.date.accepted2017-04-30en_UK
dcterms.dateAccepted2017-04-30en_UK
dc.date.filedepositdate2018-02-14en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorDashtipour, Kia|0000-0001-8651-5117en_UK
local.rioxx.authorGogate, Mandar|0000-0003-1712-9014en_UK
local.rioxx.authorAdeel, Ahsan|en_UK
local.rioxx.authorAlgarafi, Abdulrahman|en_UK
local.rioxx.authorHoward, Newton|en_UK
local.rioxx.authorHussain, Amir|0000-0002-8080-082Xen_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.contributorHoward, N|en_UK
local.rioxx.contributorWang, Y|en_UK
local.rioxx.contributorHussain, A|en_UK
local.rioxx.contributorWidrow, B|en_UK
local.rioxx.contributorZadeh, LA|en_UK
local.rioxx.freetoreaddate2999-09-01en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filename08109733.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source978-1-5386-0771-8en_UK
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