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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Format: | Article |
Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2017-06-01
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Series: | 网络与信息安全学报 |
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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 |