Entity Attribute Completion Based on Bayesian Network
SHE Qixing1, JIANG Tianwen1, LIU Ming1,2, QIN Bing1,2
1.Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology, Harbin, Heilongjiang 150006, China; 2.Peng Cheng Laboratory, Shenzhen, Guangdong 518040, China
Abstract：Attribute is an important part of entity, and the acquisition of entity attribute is a key step of knowledge graph construction. To complete the attributes related to entities in open domain Chinese knowledge graph "BigCilin",this paper proposes to employ the dependency relationships between 1) hypernym conception and attribute, and 2) entity and hypernym conception to add attributes to entities based on the Bayesian network. Compared with similarity measures, this method are proved for its validity in terms of significantly improving the attribute coverage of "BigCilin".
[1] Suchanek F M, Kasneci G, Weikum G. YAGO: A core of semantic knowledge[C]//Proceedings of the 16th International Conference on World Wide Web. ACM, 2007: 697-706. [2] Miller G A. WordNet: A lexical database for English[J]. Communications of the ACM, 1995, 38(11): 39-41. [3] Lehmann J, Isele R, Jakob M, et al. DBpedia: A large-scale, multilingual knowledge base extracted from Wikipedia[J]. Semantic Web, 2015, 6(2): 167-195. [4] Bollacker K, Evans C, Paritosh P, et al. FreeBase: A collaboratively created graph database for structuring human knowledge[C]//Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data. ACM, 2008: 1247-1250. [5] Vrandecic＇ D, Krtzsch M. Wikidata: A free collaborative knowledge base[J]. Communications of the ACM, 2014,57(10): 78-85. [6] Niu X, Sun X, Wang H, et al. Zhishi. me weaving Chinese linking open data[C]//Proceedings of International Semantic Web Conference. Springer, Berlin, Heidelberg, 2011: 205-220. [7] Wang Z, Li J, Wang Z, et al. XLore: A large-scale English-Chinese bilingual knowledge graph[C]//Proceedings of International Semantic Web Conference, 2013, 1035: 121-124. [8] Xu B, Xu Y, Liang J, et al. CN-dbpedia: A never-ending Chinese knowledge extraction system[C]//Proceedings of International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems. Springer, Cham, 2017: 428-438. [9] Yu D, Ji H. Unsupervised person slot filling based on graph mining[C]//Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016: 44-53. [10] Huang L, Sil A, Ji H, et al. Improving slot filling performance with attentive neural networks on dependency structures[J]. arXiv preprint arXiv: 1707.01075, 2017. [11] Zheng G, Mukherjee S, Dong X L, et al. Opentag: Open attribute value extraction from product profiles[C]//Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, 2018: 1049-1058. [12] Fu R, Qin B, Liu T. Exploiting multiple sources for open-domain hypernym discovery[C]//Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013: 1224-1234. [13] Pearl J. Bayesian networks[M]. The Hardbook of Brain Theory and Neural Networks, NY: Mitpress, 1998: 149-153. [14] Qiu Y, Li H, Li S, et al. Revisiting correlations between intrinsic and extrinsic evaluations of word embeddings[M]. Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data. Springer, Cham, 2018: 209-221.
2021, Vol. 35 
