Please use this identifier to cite or link to this item:
https://ptsldigital.ukm.my/jspui/handle/123456789/394990
Title: | SRL TOOL: heuristics-based semantic role labeling through natural language processing |
Authors: | Nazlia Omar Siti Salwa Hasbullah |
Conference Name: | International Symposium on Information Technology |
Keywords: | SRL TOOL Heuristics Semantic role Natural language processing |
Conference Date: | 26/08/2008 |
Conference Location: | Kuala Lumpur Convention Centre |
Abstract: | The 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. |
Pages: | 7 |
Call Number: | T58.5.C634 2008 kat sem j.2 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE),Piscataway, US |
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.