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Adapting a constituency parser to user-generated content in polish opinion mining

creativeworkseries.issn1508-2806
dc.contributor.authorPluwak, Agnieszka
dc.contributor.authorKorczyński, Wojciech
dc.contributor.authorKisiel-Dorohinicki, Marek
dc.date.available2017-09-11T12:05:11Z
dc.date.issued2016
dc.descriptionBibliogr. s. 42-44.
dc.description.abstractThe paper focuses on the adjustment of NLP tools for Polish, e.g., morphological analyzers and parsers, to user-generated content (UGC). The authors discuss two rule-based techniques applied to improve their efficiency: pre-processing (text normalization) and parser adaptation (modified segmentation and parsing rules). A new solution to handle OOVs based on inflectional translation is also offered.en
dc.description.placeOfPublicationKraków
dc.description.versionwersja wydawniczapl
dc.identifier.doihttps://doi.org/10.7494/csci.2016.17.1.23
dc.identifier.eissn2300-7036
dc.identifier.issn1508-2806
dc.identifier.nukatdd2016312037pl
dc.identifier.urihttps://repo.agh.edu.pl/handle/AGH/47957
dc.language.isoeng
dc.publisherWydawnictwa AGH
dc.relation.ispartofComputer Science
dc.rightsAttribution 4.0 International
dc.rights.accessotwarty dostęp
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.subjectuser generated contenten
dc.subjecttext normalizationen
dc.subjectparsingen
dc.subjectsentiment analysisen
dc.titleAdapting a constituency parser to user-generated content in polish opinion miningen
dc.title.relatedComputer Science
dc.typeartykuł
dspace.entity.typePublication
publicationissue.issueNumberNo. 1
publicationissue.paginationpp. 23-44
publicationvolume.volumeNumberVol. 17
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relation.isAuthorOfPublication.latestForDiscovery6ca4d529-806f-491f-8f04-473b5a870d8e
relation.isJournalIssueOfPublication0b8df6a3-c60b-41e1-b39c-886d6333626d
relation.isJournalIssueOfPublication.latestForDiscovery0b8df6a3-c60b-41e1-b39c-886d6333626d
relation.isJournalOfPublication020291ee-249b-4dcf-98a3-276a2f7981aa

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