Joint Matrix-Tensor Factorization for Knowledge Base Inference
@article{Jain2017JointMF, title={Joint Matrix-Tensor Factorization for Knowledge Base Inference}, author={Prachi Jain and Shikhar Murty and Mausam and Soumen Chakrabarti}, journal={ArXiv}, year={2017}, volume={abs/1706.00637} }
While several matrix factorization (MF) and tensor factorization (TF) models have been proposed for knowledge base (KB) inference, they have rarely been compared across various datasets. Is there a single model that performs well across datasets? If not, what characteristics of a dataset determine the performance of MF and TF models? Is there a joint TF+MF model that performs robustly on all datasets? We perform an extensive evaluation to compare popular KB inference models across popular… CONTINUE READING
Supplemental Code
Github Repo
Github Repo
Via Papers with Code
Source code for all models from our IJCAI 2018 Paper "Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for Knowledge Base Inference"
Tables and Topics from this paper
References
SHOWING 1-10 OF 39 REFERENCES
Injecting Logical Background Knowledge into Embeddings for Relation Extraction
- Computer Science
- HLT-NAACL
- 2015
- 177
- PDF
A Three-Way Model for Collective Learning on Multi-Relational Data
- Computer Science
- ICML
- 2011
- 1,034
- Highly Influential
- PDF
Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction
- Computer Science
- VS@HLT-NAACL
- 2015
- 18
- Highly Influential
- PDF
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
- Computer Science
- ICLR
- 2015
- 902
- Highly Influential
- PDF
Translating Embeddings for Modeling Multi-relational Data
- Mathematics, Computer Science
- NIPS
- 2013
- 2,499
- Highly Influential
- PDF
Relation Schema Induction using Tensor Factorization with Side Information
- Computer Science
- EMNLP
- 2016
- 18
- PDF
Typed Tensor Decomposition of Knowledge Bases for Relation Extraction
- Computer Science
- EMNLP
- 2014
- 153
- PDF
Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text
- Computer Science
- ACL
- 2016
- 110
- PDF