MFEE: a multi-word lexical feature enhancement framework for Chinese geological hazard event extraction
Event Extraction (EE) is an essential and challenging task in information extraction. Most existing event extraction methods do not specifically target the Chinese geological hazards domain. This is due to the unique characteristics of the Chinese language and the lack of Chinese geological hazard d...
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Format: | Article |
Language: | English |
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PeerJ Inc.
2023-03-01
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Series: | PeerJ Computer Science |
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Online Access: | https://peerj.com/articles/cs-1275.pdf |
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author | Jie Gong Yang Cao Miao Zijing Qiaosen Chen |
author_facet | Jie Gong Yang Cao Miao Zijing Qiaosen Chen |
author_sort | Jie Gong |
collection | DOAJ |
description | Event Extraction (EE) is an essential and challenging task in information extraction. Most existing event extraction methods do not specifically target the Chinese geological hazards domain. This is due to the unique characteristics of the Chinese language and the lack of Chinese geological hazard datasets. To address these challenges, we propose a novel multi-word lexical feature enhancement framework (MFEE). It effectively implements Chinese event extraction in the geological hazard domain by introducing lexical information and the designed lexical feature weighting decision method. In addition, we construct a large-scale Chinese geological hazard dataset (CGHaz). Experimental results on this dataset and the ACE 2005 dataset demonstrate the approach’s effectiveness. The datasets can be found at https://github.com/JieGong1130/MFEE-dataset. The code can be found at https://github.com/JieGong1130/MFEE-master. |
first_indexed | 2024-04-10T00:23:21Z |
format | Article |
id | doaj.art-9195c689a5cb4623997eee356b723c52 |
institution | Directory Open Access Journal |
issn | 2376-5992 |
language | English |
last_indexed | 2024-04-10T00:23:21Z |
publishDate | 2023-03-01 |
publisher | PeerJ Inc. |
record_format | Article |
series | PeerJ Computer Science |
spelling | doaj.art-9195c689a5cb4623997eee356b723c522023-03-15T15:05:14ZengPeerJ Inc.PeerJ Computer Science2376-59922023-03-019e127510.7717/peerj-cs.1275MFEE: a multi-word lexical feature enhancement framework for Chinese geological hazard event extractionJie GongYang CaoMiao ZijingQiaosen ChenEvent Extraction (EE) is an essential and challenging task in information extraction. Most existing event extraction methods do not specifically target the Chinese geological hazards domain. This is due to the unique characteristics of the Chinese language and the lack of Chinese geological hazard datasets. To address these challenges, we propose a novel multi-word lexical feature enhancement framework (MFEE). It effectively implements Chinese event extraction in the geological hazard domain by introducing lexical information and the designed lexical feature weighting decision method. In addition, we construct a large-scale Chinese geological hazard dataset (CGHaz). Experimental results on this dataset and the ACE 2005 dataset demonstrate the approach’s effectiveness. The datasets can be found at https://github.com/JieGong1130/MFEE-dataset. The code can be found at https://github.com/JieGong1130/MFEE-master.https://peerj.com/articles/cs-1275.pdfNatural language processingEvent extractionGeological hazardDataset |
spellingShingle | Jie Gong Yang Cao Miao Zijing Qiaosen Chen MFEE: a multi-word lexical feature enhancement framework for Chinese geological hazard event extraction PeerJ Computer Science Natural language processing Event extraction Geological hazard Dataset |
title | MFEE: a multi-word lexical feature enhancement framework for Chinese geological hazard event extraction |
title_full | MFEE: a multi-word lexical feature enhancement framework for Chinese geological hazard event extraction |
title_fullStr | MFEE: a multi-word lexical feature enhancement framework for Chinese geological hazard event extraction |
title_full_unstemmed | MFEE: a multi-word lexical feature enhancement framework for Chinese geological hazard event extraction |
title_short | MFEE: a multi-word lexical feature enhancement framework for Chinese geological hazard event extraction |
title_sort | mfee a multi word lexical feature enhancement framework for chinese geological hazard event extraction |
topic | Natural language processing Event extraction Geological hazard Dataset |
url | https://peerj.com/articles/cs-1275.pdf |
work_keys_str_mv | AT jiegong mfeeamultiwordlexicalfeatureenhancementframeworkforchinesegeologicalhazardeventextraction AT yangcao mfeeamultiwordlexicalfeatureenhancementframeworkforchinesegeologicalhazardeventextraction AT miaozijing mfeeamultiwordlexicalfeatureenhancementframeworkforchinesegeologicalhazardeventextraction AT qiaosenchen mfeeamultiwordlexicalfeatureenhancementframeworkforchinesegeologicalhazardeventextraction |