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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Main Authors: Jie Gong, Yang Cao, Miao Zijing, Qiaosen Chen
Format: Article
Language:English
Published: PeerJ Inc. 2023-03-01
Series:PeerJ Computer Science
Subjects:
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.
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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
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AT miaozijing mfeeamultiwordlexicalfeatureenhancementframeworkforchinesegeologicalhazardeventextraction
AT qiaosenchen mfeeamultiwordlexicalfeatureenhancementframeworkforchinesegeologicalhazardeventextraction