Important Events Extraction Based on Event Co-occurrence Network Text Representation Method

被引：0

作者：

Liao, Tao ^{[1
]}

Xuan, Xiaoxing ^{[1
]}

Liu, Zongtian ^{[2
]}

Zhang, Xujie ^{[2
]}

机构：

[1] Anhui Univ Sci & Technol, Sch Comp Sci & Engn, Huainan, Peoples R China

[2] Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China

来源：

PROCEEDINGS OF 2014 IEEE INTERNATIONAL CONFERENCE ON PROGRESS IN INFORMATICS AND COMPUTING (PIC) | 2014年

关键词：

Text representation; Graph structure; Event annotation; Event co-occurrence network; Event extraction;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Cognitive scientists believe that humans memorize and understand the real world through "event". A large number of narrative class texts contain various events and people can extract important events from the texts to support various event-based information processing. In this paper, we firstly research event annotation and build the Chinese Emergency Corpus. Then, we consider the event as a basic semantic unit for narrative texts and present a new event co-occurrence network text representation method. Finally, we study important events extraction based on this event co-occurrence network. The experimental results show that our important event extraction method has good performance.

引用

页码：37 / 41

页数：5

共 50 条

[31] Topics identification based on event sequence using co-occurrence words
Wakabayashi, Kei
Miura, Takao
NATURAL LANGUAGE AND INFORMATION SYSTEMS, PROCEEDINGS, 2008, 5039 : 219 - 225
[32] Structure of a Media Co-occurrence Network
Traag, V. A.
Reinanda, R.
van Klinken, G.
PROCEEDINGS OF ECCS 2014: EUROPEAN CONFERENCE ON COMPLEX SYSTEMS, 2016, : 81 - 91
[33] Co-occurrence network of reuters news
Oezguer, Arzucan
Cetin, Burak
Bingol, Haluk
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2008, 19 (05): : 689 - 702
[34] Codon based co-occurrence network motifs in human mitochondria
Pramod Shinde
Camellia Sarkar
Sarika Jalan
Scientific Reports, 8
[35] Codon based co-occurrence network motifs in human mitochondria
Shinde, Pramod
Sarkar, Camellia
Jalan, Sarika
SCIENTIFIC REPORTS, 2018, 8
[36] Incorporating Label Co-Occurrence Into Neural Network-Based Models for Multi-Label Text Classification
Yao, Jiaqi
Wang, Keren
Yan, Jikun
IEEE ACCESS, 2019, 7 : 183580 - 183588
[37] The Extraction of Feather Texture Based on Gray Level Co-occurrence Matrix
Ming, Junfeng
Wang, Renhuang
Ouyang, Min
2011 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION AND INDUSTRIAL APPLICATION (ICIA2011), VOL II, 2011, : 201 - 204
[38] The Extraction of Feather Texture Based on Gray Level Co-occurrence Matrix
Ming, Junfeng
Wang, Renhuang
Ouyang, Min
2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL VII, 2010, : 202 - 205
[39] Feature Extraction Based on Co-occurrence of Adjacent Local Binary Patterns
Nosaka, Ryusuke
Ohkawa, Yasuhiro
Fukui, Kazuhiro
ADVANCES IN IMAGE AND VIDEO TECHNOLOGY, PT II, 2011, 7088 : 82 - 91
[40] Fuzzy Co-occurrence Matrix Fusion based Texture Feature Extraction
Ren Huifeng
Hu Guyu
Xie Jun
Pan Zhisong
2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 3622 - 3626

← 1 2 3 4 5 →