Fetching the paper…
Reading the bibliography…
We present MMKG, a collection of three knowledge graphs that contain both numerical features and (links to) images for all entities as well as entity alignments between pairs of KGs.
The HDF Group: Hierarchical Data Format, version 5 (1997-NNNN), http://www.hdfgroup.org/HDF5/
1997
Earlier work this paper cites.
Klyne, G., Carroll, J.J., McBride, B.: Resource description framework (rdf): Concepts and abstract syntax. w3c recommendation, feb. 2004 (2004)
2004
Earlier work this paper cites.
Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.G.: Dbpedia: A nucleus for a web of open data. In: ISWC/ASWC. vol. 4825, pp. 722–735 (2007)
2007
Earlier work this paper cites.
Suchanek, F.M., Kasneci, G., Weikum, G.: Yago: a core of semantic knowledge. In: Proceedings of the 16th international conference on World Wide Web. pp. 697–706. ACM (2007)
2007
Earlier work this paper cites.
Bollacker, K.D., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: SIGMOD Conference. pp. 1247–1250 (2008)
2008
Earlier work this paper cites.
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: A large-scale hierarchical image database. In: Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on. pp. 248–255. IEEE (2009)
2009
Earlier work this paper cites.
Mintz, M., Bills, S., Snow, R., Jurafsky, D.: Distant supervision for relation extraction without labeled data. In: Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2-Volume 2. pp. 1003–1011. Association for Computational Linguistics (2009)
2009
Earlier work this paper cites.
Dredze, M., McNamee, P., Rao, D., Gerber, A., Finin, T.: Entity disambiguation for knowledge base population. In: Proceedings of the 23rd International Conference on Computational Linguistics. pp. 277–285. Association for Computational Linguistics (2010)
2010
Earlier work this paper cites.
Noessner, J., Niepert, M., Meilicke, C., Stuckenschmidt, H.: Leveraging terminological structure for object reconciliation. In: Extended Semantic Web Conference. pp. 334–348. Springer (2010)
2010
Earlier work this paper cites.
Lao, N., Mitchell, T., Cohen, W.W.: Random walk inference and learning in a large scale knowledge base. In: EMNLP. pp. 529–539 (2011)
2011
Earlier work this paper cites.
Suchanek, F.M., Abiteboul, S., Senellart, P.: PARIS: probabilistic alignment of relations, instances, and schema. PVLDB 5
2011
Earlier work this paper cites.
Suchanek, F.M., Abiteboul, S., Senellart, P.: Paris: Probabilistic alignment of relations, instances, and schema. Proceedings of the VLDB Endowment 5
2011
Earlier work this paper cites.
Niu, X., Rong, S., Wang, H., Yu, Y.: An effective rule miner for instance matching in a web of data. In: Proceedings of the 21st ACM international conference on Information and knowledge management. pp. 1085–1094. ACM (2012)
2012
Cited alongside, same era.
Bordes, A., Usunier, N., García-Durán, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: NIPS. pp. 2787–2795 (2013)
2013
Cited alongside, same era.
Galárraga, L.A., Preda, N., Suchanek, F.M.: Mining rules to align knowledge bases. In: Proceedings of the 2013 workshop on Automated knowledge base construction. pp. 43–48. ACM (2013)
2013
Cited alongside, same era.
Hajishirzi, H., Zilles, L., Weld, D.S., Zettlemoyer, L.: Joint coreference resolution and named-entity linking with multi-pass sieves. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. pp. 289–299 (2013)
2013
Cited alongside, same era.
Yih, W., Chang, M., He, X., Gao, J.: Semantic parsing via staged query graph generation: Question answering with knowledge base. In: ACL (1). pp. 1321–1331 (2015)
2015
Later among the works it cites.
Achichi, M., Cheatham, M., Dragisic, Z., Euzenat, J., Faria, D., Ferrara, A., Flouris, G., Fundulaki, I., Harrow, I., Ivanova, V., et al.: Results of the ontology alignment evaluation initiative 2016. In: OM: Ontology Matching. pp. 73–129. No commercial editor. (2016)
2016
Later among the works it cites.
2016
Later among the works it cites.
2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Lacoste-Julien, S., Palla, K., Davies, A., Kasneci, G., Graepel, T., Ghahramani, Z.: Sigma: Simple greedy matching for aligning large knowledge bases. In: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining. pp. 572–580. ACM (2013)
2013
Cited alongside, same era.
Riedel, S., Yao, L., McCallum, A., Marlin, B.M.: Relation extraction with matrix factorization and universal schemas. In: Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. pp. 74–84 (2013)
2013
Cited alongside, same era.
Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. CoRR abs/1412.6980
2014
Cited alongside, same era.
2014
Cited alongside, same era.
Galárraga, L., Teflioudi, C., Hose, K., Suchanek, F.M.: Fast rule mining in ontological knowledge bases with amie+. The VLDB Journal 24
2015
Cited alongside, same era.
Gardner, M., Mitchell, T.M.: Efficient and expressive knowledge base completion using subgraph feature extraction. In: EMNLP. pp. 1488–1498 (2015)
2015
Cited alongside, same era.
Toutanova, K., Chen, D.: Observed versus latent features for knowledge base and text inference. In: Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality. pp. 57–66 (2015)
2015
Cited alongside, same era.
2016
Later among the works it cites.
Nickel, M., Murphy, K., Tresp, V., Gabrilovich, E.: A review of relational machine learning for knowledge graphs. Proceedings of the IEEE 104
2016
Later among the works it cites.
Wu, Q., Wang, P., Shen, C., Dick, A., van den Hengel, A.: Ask me anything: Free-form visual question answering based on knowledge from external sources. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 4622–4630 (2016)
2016
Later among the works it cites.
2016
Later among the works it cites.
2017
Later among the works it cites.
Garcia-Duran, A., Niepert, M.: Kblrn: End-to-end learning of knowledge base representations with latent, relational, and numerical features. In: Uncertainty in Artificial Intelligence Proceedings of the 34th Conference (2018)
2018
Later among the works it cites.
Pezeshkpour, P., Chen, L., Singh, S.: Embedding multimodal relational data for knowledge base completion. In: EMNLP (2018)
2018
Later among the works it cites.