Temporal relation recognition method based on news event fragments

Event fragments as the smallestr unit was defined and a two-stage event fragments temporal relation recognition algorithm was proposed.The first stage is sequential mapping and the second is sequence recognition.The real online data increased accuracy by 4% compared to common classifier and strong r...

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Main Authors: Ying-jun LI, Hong-li ZHANG, Xing WANG
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2017-06-01
Series:网络与信息安全学报
Subjects:
Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00171
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author Ying-jun LI
Hong-li ZHANG
Xing WANG
author_facet Ying-jun LI
Hong-li ZHANG
Xing WANG
author_sort Ying-jun LI
collection DOAJ
description Event fragments as the smallestr unit was defined and a two-stage event fragments temporal relation recognition algorithm was proposed.The first stage is sequential mapping and the second is sequence recognition.The real online data increased accuracy by 4% compared to common classifier and strong rule algorithm.
format Article
id doaj-art-86bba4605a0245138d1f1ebdca377805
institution Kabale University
issn 2096-109X
language English
publishDate 2017-06-01
publisher POSTS&TELECOM PRESS Co., LTD
record_format Article
series 网络与信息安全学报
spelling doaj-art-86bba4605a0245138d1f1ebdca3778052025-01-15T03:05:49ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2017-06-013334159550703Temporal relation recognition method based on news event fragmentsYing-jun LIHong-li ZHANGXing WANGEvent fragments as the smallestr unit was defined and a two-stage event fragments temporal relation recognition algorithm was proposed.The first stage is sequential mapping and the second is sequence recognition.The real online data increased accuracy by 4% compared to common classifier and strong rule algorithm.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00171event fragmentssequential mappingtemporal relation reconitionglobal optimization
spellingShingle Ying-jun LI
Hong-li ZHANG
Xing WANG
Temporal relation recognition method based on news event fragments
网络与信息安全学报
event fragments
sequential mapping
temporal relation reconition
global optimization
title Temporal relation recognition method based on news event fragments
title_full Temporal relation recognition method based on news event fragments
title_fullStr Temporal relation recognition method based on news event fragments
title_full_unstemmed Temporal relation recognition method based on news event fragments
title_short Temporal relation recognition method based on news event fragments
title_sort temporal relation recognition method based on news event fragments
topic event fragments
sequential mapping
temporal relation reconition
global optimization
url http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00171
work_keys_str_mv AT yingjunli temporalrelationrecognitionmethodbasedonnewseventfragments
AT honglizhang temporalrelationrecognitionmethodbasedonnewseventfragments
AT xingwang temporalrelationrecognitionmethodbasedonnewseventfragments