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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 33 / No. 1: AAAI-19, IAAI-19, EAAI-20

Multi-Labeled Relation Extraction with Attentive Capsule Network

February 1, 2023

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Authors

Xinsong Zhang

Shanghai Jiao Tong University


Pengshuai Li

Shanghai Jiao Tong University


Weijia Jia

University of Macau & Shanghai Jiao Tong University


Hai Zhao

Shanghai Jiao Tong University


DOI:

10.1609/aaai.v33i01.33017484


Abstract:

To disclose overlapped multiple relations from a sentence still keeps challenging. Most current works in terms of neural models inconveniently assuming that each sentence is explicitly mapped to a relation label, cannot handle multiple relations properly as the overlapped features of the relations are either ignored or very difficult to identify. To tackle with the new issue, we propose a novel approach for multi-labeled relation extraction with capsule network which acts considerably better than current convolutional or recurrent net in identifying the highly overlapped relations within an individual sentence. To better cluster the features and precisely extract the relations, we further devise attention-based routing algorithm and sliding-margin loss function, and embed them into our capsule network. The experimental results show that the proposed approach can indeed extract the highly overlapped features and achieve significant performance improvement for relation extraction comparing to the state-of-the-art works.

Topics: AAAI

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HOW TO CITE:

Xinsong Zhang||Pengshuai Li||Weijia Jia||Hai Zhao Multi-Labeled Relation Extraction with Attentive Capsule Network Proceedings of the AAAI Conference on Artificial Intelligence (2019) 7484-7491.

Xinsong Zhang||Pengshuai Li||Weijia Jia||Hai Zhao Multi-Labeled Relation Extraction with Attentive Capsule Network AAAI 2019, 7484-7491.

Xinsong Zhang||Pengshuai Li||Weijia Jia||Hai Zhao (2019). Multi-Labeled Relation Extraction with Attentive Capsule Network. Proceedings of the AAAI Conference on Artificial Intelligence, 7484-7491.

Xinsong Zhang||Pengshuai Li||Weijia Jia||Hai Zhao. Multi-Labeled Relation Extraction with Attentive Capsule Network. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.7484-7491.

Xinsong Zhang||Pengshuai Li||Weijia Jia||Hai Zhao. 2019. Multi-Labeled Relation Extraction with Attentive Capsule Network. "Proceedings of the AAAI Conference on Artificial Intelligence". 7484-7491.

Xinsong Zhang||Pengshuai Li||Weijia Jia||Hai Zhao. (2019) "Multi-Labeled Relation Extraction with Attentive Capsule Network", Proceedings of the AAAI Conference on Artificial Intelligence, p.7484-7491

Xinsong Zhang||Pengshuai Li||Weijia Jia||Hai Zhao, "Multi-Labeled Relation Extraction with Attentive Capsule Network", AAAI, p.7484-7491, 2019.

Xinsong Zhang||Pengshuai Li||Weijia Jia||Hai Zhao. "Multi-Labeled Relation Extraction with Attentive Capsule Network". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.7484-7491.

Xinsong Zhang||Pengshuai Li||Weijia Jia||Hai Zhao. "Multi-Labeled Relation Extraction with Attentive Capsule Network". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 7484-7491.

Xinsong Zhang||Pengshuai Li||Weijia Jia||Hai Zhao. Multi-Labeled Relation Extraction with Attentive Capsule Network. AAAI[Internet]. 2019[cited 2023]; 7484-7491.


ISSN: 2374-3468


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