大连理工大学  登录  English 
张宪超
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教授   博士生导师   硕士生导师

主要任职: 国防(先进)科学技术发展研究院副院长

性别: 男

毕业院校: 中国科技大学

学位: 博士

在职信息:在职

所在单位: 软件学院

学科: 计算机应用技术 软件工程

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当前位置: 中文主页 >> 科学研究 >> 论文成果
One-shot Learning for Fine-grained Relation Extraction via Convolutional Siamese Neural Network

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论文类型: 会议论文

第一作者: Yuan, Jianbo

合写作者: Guo, Han,Jin, Zhiwei,Jin, Hongxia,Zhang, Xianchao,Luo, Jiebo

发表时间: 2017-01-01

发表刊物: 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)

收录刊物: CPCI-S

页面范围: 2194-2199

关键字: relation extraction; fine-grained; one-shot learning; siamese neural network

摘要: Extracting fine-grained relations between entities of interest is of great importance to information extraction and large-scale knowledge graph construction. Conventional approaches on relation extraction require an existing knowledge graph to start with or sufficient observed samples from each relation type in the training process. However, such resources are not always available, and fine-grained manual labeling is extremely time-consuming and requires extensive expertise for specific domains such as healthcare and bioinformatics. Additionally, the distribution of fine-grained relations is often highly imbalanced in practice. We tackle this label scarcity and distribution imbalance issue from a one-shot classification perspective via a convolutional siamese neural network which extracts discriminative semantic-aware features to verify the relations between a pair of input samples. The proposed siamese network effectively extracts uncommon relations with only limited observed samples on the tasks of 1-shot and few-shot classification, demonstrating significant benefits to domain-specific information extraction in practical applications.

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