Natural language semantic event extraction pipeline

This paper presents a novel contribution of this research which is an automated NLP pipeline for semantic event extraction and annotation (EveSem).The output from this research is an xml annotated semantic events. Temporal interpretation of event is incorporated by using the linguistic elements mad...

Full description

Bibliographic Details
Main Authors: Siaw, Nyuk Hiong, Kulathuramaiyer, Narayanan, Labadin, Jane
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/12034/1/PID63.pdf
_version_ 1825802935943036928
author Siaw, Nyuk Hiong
Kulathuramaiyer, Narayanan
Labadin, Jane
author_facet Siaw, Nyuk Hiong
Kulathuramaiyer, Narayanan
Labadin, Jane
author_sort Siaw, Nyuk Hiong
collection UUM
description This paper presents a novel contribution of this research which is an automated NLP pipeline for semantic event extraction and annotation (EveSem).The output from this research is an xml annotated semantic events. Temporal interpretation of event is incorporated by using the linguistic elements made available through the use of the tools. A preliminary evaluation showed that EveSem performed equally well as TIPSem in extracting verbal event with a precision of 85.42 and a recall of 89.13.This work can contribute towards automated annotation of semantic event corpus and event timeline construction as future research.
first_indexed 2024-07-04T05:48:45Z
format Conference or Workshop Item
id uum-12034
institution Universiti Utara Malaysia
language English
last_indexed 2024-07-04T05:48:45Z
publishDate 2013
record_format eprints
spelling uum-120342014-08-25T07:05:50Z https://repo.uum.edu.my/id/eprint/12034/ Natural language semantic event extraction pipeline Siaw, Nyuk Hiong Kulathuramaiyer, Narayanan Labadin, Jane QA76 Computer software This paper presents a novel contribution of this research which is an automated NLP pipeline for semantic event extraction and annotation (EveSem).The output from this research is an xml annotated semantic events. Temporal interpretation of event is incorporated by using the linguistic elements made available through the use of the tools. A preliminary evaluation showed that EveSem performed equally well as TIPSem in extracting verbal event with a precision of 85.42 and a recall of 89.13.This work can contribute towards automated annotation of semantic event corpus and event timeline construction as future research. 2013-08-28 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/12034/1/PID63.pdf Siaw, Nyuk Hiong and Kulathuramaiyer, Narayanan and Labadin, Jane (2013) Natural language semantic event extraction pipeline. In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28 -30 August 2013, Kuching, Sarawak, Malaysia. http://www.icoci.cms.net.my/proceedings/2013/TOC.html
spellingShingle QA76 Computer software
Siaw, Nyuk Hiong
Kulathuramaiyer, Narayanan
Labadin, Jane
Natural language semantic event extraction pipeline
title Natural language semantic event extraction pipeline
title_full Natural language semantic event extraction pipeline
title_fullStr Natural language semantic event extraction pipeline
title_full_unstemmed Natural language semantic event extraction pipeline
title_short Natural language semantic event extraction pipeline
title_sort natural language semantic event extraction pipeline
topic QA76 Computer software
url https://repo.uum.edu.my/id/eprint/12034/1/PID63.pdf
work_keys_str_mv AT siawnyukhiong naturallanguagesemanticeventextractionpipeline
AT kulathuramaiyernarayanan naturallanguagesemanticeventextractionpipeline
AT labadinjane naturallanguagesemanticeventextractionpipeline