Title :
SRL TOOL: Heuristics-based Semantic Role Labeling through natural language processing
Author :
Omar, Nazlia ; Hasbullah, Siti Salwa
Author_Institution :
Department Of Computer Science, The Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia
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 shows 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.
Keywords :
Books; Computational linguistics; Computer science; Humans; Information science; Joining processes; Labeling; Lifting equipment; Natural language processing; Testing;
Conference_Titel :
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location :
Kuala Lumpur, Malaysia
Print_ISBN :
978-1-4244-2327-9
Electronic_ISBN :
978-1-4244-2328-6
DOI :
10.1109/ITSIM.2008.4631716
