Named Entity Recognition in Vietnamese Text Using Label Propagation

被引：0

作者：

Huong Thanh Le ^{[1
]}

Rathany Chan Sam ^{[1
]}

Hoan Cong Nguyen ^{[1
]}

Thuy Thanh Nguyen ^{[2
]}

机构：

[1] Hanoi Univ Sci & Technol, Hanoi, Vietnam

[2] Univ Engn & Technol, Hanoi, Vietnam

来源：

2013 INTERNATIONAL CONFERENCE OF SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR) | 2013年

关键词：

Named entity recognition; labeled propagation; semisupervised learning; words similarity;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents our named entity recognition system for Vietnamese text using labeled propagation. In here we propose: (i) a method of choosing noun phrases as the named entity candidates; (ii) a method to measure the word similarity; and (iii) a method of decreasing the effect of high frequency labels in labeled documents. Experimental results show that our labeled propagate method achieves higher accuracy than the old one [12]. In addition, when the number of the labeled data is small, its accuracy is higher than when using conditional random fields.

引用

页码：366 / 370

页数：5

共 50 条

[31] TEXT SEGMENTATION USING NAMED ENTITY RECOGNITION AND CO-REFERENCE RESOLUTION
Fragkou, Pavlina
[J]. ICAART 2011: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1, 2011, : 349 - 354
[32] Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network
Wu, Yonghui
Jiang, Min
Lei, Jianbo
Xu, Hua
[J]. MEDINFO 2015: EHEALTH-ENABLED HEALTH, 2015, 216 : 624 - 628
[33] Named Entity Recognition in Text Documents Using a Modified Conditional Random Field
Veena, G.
Gupta, Deepa
Lakshmi, S.
Jacob, Jeenu T.
[J]. RECENT FINDINGS IN INTELLIGENT COMPUTING TECHNIQUES, VOL 3, 2018, 709 : 31 - 41
[34] HELD: Hierarchical entity-label disambiguation in named entity recognition task using deep learning
Neves Oliveira, Barbara Stephanie
de Oliveira, Andreza Fernandes
de Lira, Vinicius Monteiro
Coelho da Silva, Ticiana Linhares
Fernandes de Macedo, Jose Antonio
[J]. INTELLIGENT DATA ANALYSIS, 2022, 26 (03) : 637 - 657
[35] GraphNER: Using Corpus Level Similarities and Graph Propagation for Named Entity Recognition
Sheikhshab, Golnar
Starks, Elizabeth
Karsan, Aly
Chiu, Readman
Sarkar, Anoop
Birol, Inanc
[J]. 2018 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW 2018), 2018, : 229 - 238
[36] Recursive label attention network for nested named entity recognition
Kim, Hongjin
Kim, Harksoo
[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2024, 249
[37] Arabic Named Entity Recognition from diverse text types
Shaalan, Khaled
Raza, Hafsa
[J]. ADVANCES IN NATURAL LANGUAGE PROCESSING, PROCEEDINGS, 2008, 5221 : 440 - 451
[38] Bootstrapped Text-level Named Entity Recognition for Literature
Brooke, Julian
Baldwin, Timothy
Hammond, Adam
[J]. PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2016), VOL 2, 2016, : 344 - 350
[39] Named Entity Recognition for Mine Electromechanical Equipment Monitoring Text
Yunfei, Qiu
Haoran, Xing
Zhilong, Yu
Wenwen, Zhang
[J]. Computer Engineering and Applications, 60 (11): : 129 - 138
[40] Transfer learning for Turkish named entity recognition on noisy text
Kagan Akkaya, Emre
Can, Burcu
[J]. NATURAL LANGUAGE ENGINEERING, 2021, 27 (01) : 35 - 64

← 1 2 3 4 5 →