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Increasing NLP Parsing Efficiency with Chunking

dc.contributor.authorAnderson, Mark Dáibhidh
dc.contributor.authorVilares, David
dc.date.accessioned2018-10-16T13:47:42Z
dc.date.available2018-10-16T13:47:42Z
dc.date.issued2018-09-19
dc.identifier.citationDáibhidh, Mark and Vilares, David. Increasing NLP Parsing Efficiency with Chunking. En Proceedings 2018, 2, p. 1160es_ES
dc.identifier.issn2504-3900
dc.identifier.urihttp://hdl.handle.net/2183/21161
dc.descriptionTrátase dun resumo extendido da ponenciaes_ES
dc.description.abstract[Abstract] We introduce a “Chunk-and-Pass” parsing technique influenced by a psycholinguistic model, where linguistic information is processed not word-by-word but rather in larger chunks of words. We present preliminary results that show that it is feasible to compress linguistic data into chunks without significantly diminishing parsing performance and potentially increasing the speed.es_ES
dc.language.isoenges_ES
dc.publisherM D P I AGes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/714150es_ES
dc.relation.urihttps://doi.org/10.3390/proceedings2181160es_ES
dc.rightsAtribuciónes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/es_ES
dc.subjectParsinges_ES
dc.subjectSyntaxes_ES
dc.subjectNatural language processinges_ES
dc.subjectDependency parsinges_ES
dc.subjectChunkinges_ES
dc.titleIncreasing NLP Parsing Efficiency with Chunkinges_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleProceedingses_ES
UDC.volume2es_ES
UDC.issue18es_ES
UDC.startPage1160es_ES
dc.identifier.doi10.3390/proceedings2181160
UDC.conferenceTitleXoveTIC Congress 2018es_ES


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