Representation learning of knowledge graphs with entity descriptions

30th AAAI Conference on Artificial Intelligence, AAAI 2016

Volumn , Issue , 2016, Pages 2659-2665

  Xie, Ruobing ^a   Liu, Zhiyuan ^a,b   Jia, Jia ^a   Luan, Huanbo ^a   Sun, Maosong ^a,b  

^a TSINGHUA NATIONAL LABORATORY FOR INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b JIANGSU NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; KNOWLEDGE REPRESENTATION; SEMANTICS;

BAG OF WORDS; KNOWLEDGE GRAPHS; LOW-DIMENSIONAL SPACES; NEURAL MODELS; REAL-WORLD DATASETS; SOURCE CODES;

GRAPHIC METHODS;

EID: 85007148114     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Bollacker, K.; Evans, C.; Paritosh, P.; Sturge, T.; and Taylor, J. 2008. Freebase: A collaboratively created graph database for structuring human knowledge. In Proceedings of KDD, 1247-1250.
2. Bordes, A.; Usunier, N.; Garcia-Duran, A.; Weston, J.; and Yakhnenko, O. 2013. Translating embeddings for modeling multi-relational data. In Proceedings of NIPS, 2787-2795.
3. Collobert, R.; Weston, J.; Bottou, L.; Karlen, M.; Kavukcuoglu, K.; and Kuksa, P. 2011. Natural language processing (almost) from scratch. JMLR 12:2493-2537.
4. Dong, X.; Gabrilovich, E.; Heitz, G.; Horn, W.; Lao, N.; Murphy, K.; Strohmann, T.; Sun, S.; and Zhang, W. 2014. Knowledge vault: A web-scale approach to probabilistic knowledge fusion. In Proceedings of KDD, 601-610.
5. dos Santos, C.; Xiang, B.; and Zhou, B. 2015. Classifying relations by ranking with convolutional neural networks. In Proceedings of ACL, 626-634.
6. Lin, Y.; Liu, Z.; Luan, H.; Sun, M.; Rao, S.; and Liu, S. 2015a. Modeling relation paths for representation learning of knowledge bases. In Proceedings of EMNLP, 705-714.
7. Lin, Y.; Liu, Z.; Sun, M.; Liu, Y.; and Zhu, X. 2015b. Learning entity and relation embeddings for knowledge graph completion. In Proceedings of AAAI.
8. Mikolov, T.; Chen, K.; Corrado, G.; and Dean, J. 2013. Efficient estimation of word representations in vector space. In Proceedings of ICLR.
9. Neelakantan, A., and Chang, M.-W. 2015. Inferring missing entity type instances for knowledge base completion: New dataset and methods. In Proceedings of NAACL.
10. Neelakantan, A.; Roth, B.; and McCallum, A. 2015. Compositional vector space models for knowledge base completion. Proceedings of EMNLP.
11. Socher, R.; Chen, D.; Manning, C. D.; and Ng, A. 2013. Reasoning with neural tensor networks for knowledge base completion. In Proceedings of NIPS, 926-934.
12. Szumlanski, S., and Gomez, F. 2010. Automatically acquiring a semantic network of related concepts. In Proceedings of CIKM, 19-28.
13. Wang, Z.; Zhang, J.; Feng, J.; and Chen, Z. 2014a. Knowledge graph and text jointly embedding. In Proceedings of EMNLP, 1591-1601.
14. Wang, Z.; Zhang, J.; Feng, J.; and Chen, Z. 2014b. Knowledge graph embedding by translating on hyperplanes. In Proceedings of AAAI, 1112-1119.
15. Yang, B.; Yih, W.-T.; He, X.; Gao, J.; and Deng, L. 2014. Embedding entities and relations for learning and inference in knowledge bases. Proceedings of ICLR.
16. Zeng, D.; Liu, K.; Lai, S.; Zhou, G.; and Zhao, J. 2014. Relation classification via convolutional deep neural network. In Proceedings of COLING, 2335-2344.
17. Zhang, D.; Yuan, B.; Wang, D.; and Liu, R. 2015. Joint semantic relevance learning with text data and graph knowledge. ACL-IJCNLP 2015 32-40.
18. Zhong, H.; Zhang, J.;Wang, Z.;Wan, H.; and Chen, Z. 2015. Aligning knowledge and text embeddings by entity descriptions. In Proceedings of EMNLP, 267-272.