Abstract
In this paper, we propose a novel embedding model, named ConvKB, for knowledge base completion. Our model ConvKB advances state-of-the-art models by employing a convolutional neural network, so that it can capture global relationships and transitional characteristics between entities and relations in knowledge bases. In ConvKB, each triple (head entity, relation, tail entity) is represented as a 3-column matrix where each column vector represents a triple element. This 3-column matrix is then fed to a convolution layer where multiple filters are operated on the matrix to generate different feature maps. These feature maps are then concatenated into a single feature vector representing the input triple. The feature vector is multiplied with a weight vector via a dot product to return a score. This score is then used to predict whether the triple is valid or not. Experiments show that ConvKB achieves better link prediction performance than previous state-of-the-art embedding models on two benchmark datasets WN18RR and FB15k-237.
Original language | English |
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Title of host publication | The 2018 Conference of the North American Chapter of the Association for Computational Linguistics |
Subtitle of host publication | Human Language Technologies, Proceedings of the Conference Volume 2 (Short Papers) |
Editors | Heng Ji, Amanda Stent |
Place of Publication | Stroudsburg PA USA |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 327–333 |
Number of pages | 7 |
ISBN (Electronic) | 9781948087292 |
DOIs | |
Publication status | Published - 2018 |
Externally published | Yes |
Event | North American Association for Computational Linguistics 2018: Human Language Technologies - Hyatt Regency, New Orleans, United States of America Duration: 1 Jun 2018 → 6 Jun 2018 Conference number: 16th http://naacl2018.org/ https://www.aclweb.org/anthology/volumes/N18-1/ (Proceedings ) |
Conference
Conference | North American Association for Computational Linguistics 2018 |
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Abbreviated title | NAACL HLT 2018 |
Country | United States of America |
City | New Orleans |
Period | 1/06/18 → 6/06/18 |
Internet address |