SRL TOOL: Heuristics-based semantic role labeling through natural language processing

Nazlia Omar, Siti Salwa Hasbullah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Information Technology 2008, ITSim
Volume2
DOIs
Publication statusPublished - 2008
EventInternational Symposium on Information Technology 2008, ITSim - Kuala Lumpur
Duration: 26 Aug 200829 Aug 2008

Other

OtherInternational Symposium on Information Technology 2008, ITSim
CityKuala Lumpur
Period26/8/0829/8/08

Fingerprint

Labeling
Semantics
Processing
Linguistics
Labels
Students

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Omar, N., & Hasbullah, S. S. (2008). SRL TOOL: Heuristics-based semantic role labeling through natural language processing. In Proceedings - International Symposium on Information Technology 2008, ITSim (Vol. 2). [4631716] https://doi.org/10.1109/ITSIM.2008.4631716

SRL TOOL : Heuristics-based semantic role labeling through natural language processing. / Omar, Nazlia; Hasbullah, Siti Salwa.

Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2 2008. 4631716.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Omar, N & Hasbullah, SS 2008, SRL TOOL: Heuristics-based semantic role labeling through natural language processing. in Proceedings - International Symposium on Information Technology 2008, ITSim. vol. 2, 4631716, International Symposium on Information Technology 2008, ITSim, Kuala Lumpur, 26/8/08. https://doi.org/10.1109/ITSIM.2008.4631716
Omar N, Hasbullah SS. SRL TOOL: Heuristics-based semantic role labeling through natural language processing. In Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2. 2008. 4631716 https://doi.org/10.1109/ITSIM.2008.4631716
Omar, Nazlia ; Hasbullah, Siti Salwa. / SRL TOOL : Heuristics-based semantic role labeling through natural language processing. Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2 2008.
@inproceedings{6c94e3741fe14efcae42abd3d2005170,
title = "SRL TOOL: Heuristics-based semantic role labeling through natural language processing",
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.",
author = "Nazlia Omar and Hasbullah, {Siti Salwa}",
year = "2008",
doi = "10.1109/ITSIM.2008.4631716",
language = "English",
isbn = "9781424423286",
volume = "2",
booktitle = "Proceedings - International Symposium on Information Technology 2008, ITSim",

}

TY - GEN

T1 - SRL TOOL

T2 - Heuristics-based semantic role labeling through natural language processing

AU - Omar, Nazlia

AU - Hasbullah, Siti Salwa

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=57349198353&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=57349198353&partnerID=8YFLogxK

U2 - 10.1109/ITSIM.2008.4631716

DO - 10.1109/ITSIM.2008.4631716

M3 - Conference contribution

AN - SCOPUS:57349198353

SN - 9781424423286

VL - 2

BT - Proceedings - International Symposium on Information Technology 2008, ITSim

ER -