李丽双,钱爽,周安桥,刘阳,郭元凯. 融合依存信息Attention机制的药物关系抽取研究[J]. 中文信息学报, 2019, 33(2): 89-96.
LI Lishuang, QIAN Shuang, ZHOU Anqiao, LIU Yang, GUO Yuankai. Drug-Drug Interaction Extraction with the Attention Mechanism Over the Dependency. , 2019, 33(2): 89-96.
融合依存信息Attention机制的药物关系抽取研究
李丽双,钱爽,周安桥,刘阳,郭元凯
大连理工大学 计算机科学与技术学院,辽宁 大连 116024
Drug-Drug Interaction Extraction with the Attention Mechanism Over the Dependency
LI Lishuang, QIAN Shuang, ZHOU Anqiao, LIU Yang, GUO Yuankai
School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
Abstract：Drug-Drug Interaction (DDI) extraction is an important issue in biomedical relationship extraction. Most of existing methods emphasize the key information such as entities and positions in the sentences. To further exploit the sentence structure, this paper proposes a Drug-Drug interaction extraction model based on the attention mechanism over the dependency. The correlation between the shortest dependency path and the sentence is measured to capture the useful information. Firstly, this model uses BiGRU network to learn the semantic information and context information of the original sentence and the Shortest Dependency Path (SDP) respectively. Secondly, the SDP information is incorporated into the original sentence information through the Attention mechanism. Finally, the final sentence representation is used to classify and predict DDI. This approach is evaluated on DDIExtraction 2013 corpus, yielding a micro F-scores of 73.72%.
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2019, Vol. 33 
