Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/394990
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNazlia Omar-
dc.contributor.authorSiti Salwa Hasbullah-
dc.date.accessioned2023-06-15T07:53:20Z-
dc.date.available2023-06-15T07:53:20Z-
dc.identifier.otherukmvital:122672-
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/394990-
dc.description.abstractThe Semantic Role Labeling (SRL Tool) is developed to label the semantic roles that exist in English sentences. This paper proposed a set of new heuristics to assist the semantic role labeling using ,natural language processing. The preliminary result hows that the use of heuristics can improve the process of assigning the correct semantic roles. This application tool is useful for researchers in Natural Language processing field and also for experts or students in Linguistics.-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE),Piscataway, US-
dc.subjectSRL TOOL-
dc.subjectHeuristics-
dc.subjectSemantic role-
dc.subjectNatural language processing-
dc.titleSRL TOOL: heuristics-based semantic role labeling through natural language processing-
dc.typeSeminar Papers-
dc.format.pages7-
dc.identifier.callnoT58.5.C634 2008 kat sem j.2-
dc.contributor.conferencenameInternational Symposium on Information Technology-
dc.coverage.conferencelocationKuala Lumpur Convention Centre-
dc.date.conferencedate26/08/2008-
Appears in Collections:Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.