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...
Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
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2013
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Online Access: | https://repo.uum.edu.my/id/eprint/12034/1/PID63.pdf |
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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 |