Relation Detection for Indonesian Language using Deep Neural Network - Support Vector Machine

被引：0
|
作者：
Hasudungan, Ramos Janoah [1 ]
Purwarianti, Ayu [1 ]
机构：
[1] Prosa, Bandung, Indonesia
来源：
2018 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING (IALP) | 2018年
关键词：
Relation detection; neural network; SVM;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Relation Detection is a task to determine whether two entities is related or not. In this paper, we employ neural network to do relation detection between two named entities for Indonesian Language. We used feature such as word embedding, position embedding, POS-Tag embedding, and character embedding. For the model, we divide the model into two parts: Front-part classifier (Convolutional layer or LSTM layer) and Back-part classifier (Dense layer or SVM). We did grid search method of neural network hyper parameter and SVM. We used 6000 Indonesian sentences for training process and 1,125 for testing. The best result is 0.8083 on F1-Score using Convolutional Layer as front-part and SVM as back-part.
引用
收藏
页码：290 / 296
页数：7
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