Observed versus latent features for knowledge base and text inference
暂无分享,去创建一个
[1] Jorge Nocedal,et al. On the limited memory BFGS method for large scale optimization , 1989, Math. Program..
[2] Michael I. Jordan,et al. Advances in Neural Information Processing Systems 30 , 1995 .
[3] Martin A. Riedmiller,et al. A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.
[4] Gerhard Weikum,et al. WWW 2007 / Track: Semantic Web Session: Ontologies ABSTRACT YAGO: A Core of Semantic Knowledge , 2022 .
[5] Jens Lehmann,et al. DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.
[6] Praveen Paritosh,et al. Freebase: a collaboratively created graph database for structuring human knowledge , 2008, SIGMOD Conference.
[7] Ni Lao,et al. Relational retrieval using a combination of path-constrained random walks , 2010, Machine Learning.
[8] Jason Weston,et al. Learning Structured Embeddings of Knowledge Bases , 2011, AAAI.
[9] Tom M. Mitchell,et al. Random Walk Inference and Learning in A Large Scale Knowledge Base , 2011, EMNLP.
[10] Hans-Peter Kriegel,et al. A Three-Way Model for Collective Learning on Multi-Relational Data , 2011, ICML.
[11] Ni Lao,et al. Reading The Web with Learned Syntactic-Semantic Inference Rules , 2012, EMNLP.
[12] Jason Weston,et al. Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.
[13] Andrew McCallum,et al. Relation Extraction with Matrix Factorization and Universal Schemas , 2013, NAACL.
[14] Tom M. Mitchell,et al. Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues , 2013, EMNLP.
[15] Zhen Wang,et al. Knowledge Graph Embedding by Translating on Hyperplanes , 2014, AAAI.
[16] Kai-Wei Chang,et al. Typed Tensor Decomposition of Knowledge Bases for Relation Extraction , 2014, EMNLP.
[17] Tom M. Mitchell,et al. Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases , 2014, EMNLP.
[18] Xueyan Jiang,et al. Reducing the Rank in Relational Factorization Models by Including Observable Patterns , 2014, NIPS.
[19] Wei Zhang,et al. Knowledge vault: a web-scale approach to probabilistic knowledge fusion , 2014, KDD.
[20] Jianfeng Gao,et al. Embedding Entities and Relations for Learning and Inference in Knowledge Bases , 2014, ICLR.
[21] Evgeniy Gabrilovich,et al. A Review of Relational Machine Learning for Knowledge Graphs , 2015, Proceedings of the IEEE.