A comprehensive exploration of semantic relation extraction via pre-trained CNNs

Semantic relation extraction between entity pairs is a crucial task in information extraction from text. In this paper, we propose a new pre-trained network architecture for this task, and it is called the XM-CNN. The XM-CNN utilizes word embedding and position embedding information. It is designed...

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Veröffentlicht in:	Knowledge-based systems Jg. 194; S. 105488
Hauptverfasser:	Li, Qing, Li, Lili, Wang, Weinan, Li, Qi, Zhong, Jiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 22.04.2020 Elsevier Science Ltd
Schlagworte:	Attention Computer architecture Convolutional neural networks Embedding Extraction Information retrieval Natural language processing Relation extraction Semantic relation Semantic relations Semantics Relation extraction Semantic relation Natural language processing Convolutional neural networks
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
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