Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification

被引：1334

作者：

Zhou, Peng ^{[1
]}

Shi, Wei ^{[1
]}

Tian, Jun ^{[1
]}

Qi, Zhenyu ^{[1
]}

Li, Bingchen ^{[1
]}

Hao, Hongwei ^{[1
]}

Xu, Bo ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Automat, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2016), VOL 2 | 2016年

基金：

国家高技术研究发展计划(863计划);

关键词：

D O I：

10.18653/v1/p16-2034

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Relation classification is an important semantic processing task in the field of natural language processing (NLP). State-of-the-art systems still rely on lexical resources such as WordNet or NLP systems like dependency parser and named entity recognizers (NER) to get high-level features. Another challenge is that important information can appear at any position in the sentence. To tackle these problems, we propose Attention-Based Bidirectional Long Short-Term Memory Networks(Att-BLSTM) to capture the most important semantic information in a sentence. The experimental results on the SemEval-2010 relation classification task show that our method outperforms most of the existing methods, with only word vectors.

引用

页码：207 / 212

页数：6

共 50 条

[1] Attention-based Bidirectional Long Short-Term Memory Networks for Relation Classification Using Knowledge Distillation from BERT
Wang, Zihan
Yang, Bo
2020 IEEE INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, INTL CONF ON CLOUD AND BIG DATA COMPUTING, INTL CONF ON CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/CBDCOM/CYBERSCITECH), 2020, : 562 - 568
[2] Hyperspectral Image Classification Using Attention-Based Bidirectional Long Short-Term Memory Network
Mei, Shaohui
Li, Xingang
Liu, Xiao
Cai, Huimin
Du, Qian
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
[3] Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks
Canlin Zhang
Daniel Biś
Xiuwen Liu
Zhe He
BMC Bioinformatics, 20
[4] Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks
Zhang, Canlin
Bis, Daniel
Liu, Xiuwen
He, Zhe
BMC BIOINFORMATICS, 2019, 20 (Suppl 16)
[5] Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory
Cao, Pengfei
Yang, Zhongyi
Sun, Liang
Liang, Yanchun
Yang, Mary Qu
Guan, Renchu
NEURAL PROCESSING LETTERS, 2019, 50 (01) : 103 - 119
[6] Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory
Pengfei Cao
Zhongyi Yang
Liang Sun
Yanchun Liang
Mary Qu Yang
Renchu Guan
Neural Processing Letters, 2019, 50 : 103 - 119
[7] Urban Road Traffic Flow Prediction with Attention-Based Convolutional Bidirectional Long Short-Term Memory Networks
Liu, Zhiquan
Hu, Yao
Ding, Xiangying
TRANSPORTATION RESEARCH RECORD, 2023, 2677 (07) : 449 - 458
[8] Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models
Tong Zeng
Daniel E. Acuna
Scientometrics, 2020, 124 : 399 - 428
[9] Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models
Zeng, Tong
Acuna, Daniel E.
SCIENTOMETRICS, 2020, 124 (01) : 399 - 428
[10] Relation extraction in Chinese using attention-based bidirectional long short- term networks
Zhang, Yanzi
PEERJ COMPUTER SCIENCE, 2023, 9

← 1 2 3 4 5 →