Probabilistic Matrix Factorization Leveraging Contexts for Unsupervised Relation Extraction

2011 ◽  
pp. 87-99 ◽  
Author(s):  
Shingo Takamatsu ◽  
Issei Sato ◽  
Hiroshi Nakagawa
Keyword(s):  
Matrix Factorization ◽  
Relation Extraction ◽  
Probabilistic Matrix Factorization

Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference

2018 ◽  
Author(s):  
Prachi Jain ◽  
Shikhar Murty ◽  
Mausam . ◽  
Soumen Chakrabarti
Keyword(s):  
Knowledge Base ◽  
Hybrid Model ◽  
Matrix Factorization ◽  
Relation Extraction ◽  
Tensor Factorization ◽  
Evaluation Protocol

This paper analyzes the varied performance of Matrix Factorization (MF) on the related tasks of relation extraction and knowledge-base completion, which have been unified recently into a single framework of knowledge-base inference (KBI) [Toutanova et al., 2015]. We first propose a new evaluation protocol that makes comparisons between MF and Tensor Factorization (TF) models fair. We find that this results in a steep drop in MF performance. Our analysis attributes this to the high out-of-vocabulary (OOV) rate of entity pairs in test folds of commonly-used datasets. To alleviate this issue, we propose three extensions to MF. Our best model is a TF-augmented MF model. This hybrid model is robust and obtains strong results across various KBI datasets.

Using Unified Probabilistic Matrix Factorization for Contextual Advertisement Recommendation

2014 ◽  
Vol 24 (3) ◽  
pp. 454-464 ◽  
Author(s):  
Dan-Dan TU ◽  
Cheng-Chun SHU ◽  
Hai-Yan YU
Keyword(s):  
Matrix Factorization ◽  
Probabilistic Matrix Factorization

scholarly journals Leveraging Latent Sentiment Constraint in Probabilistic Matrix Factorization for Cross-domain Sentiment Classification

2016 ◽  
Vol 80 ◽  
pp. 366-375 ◽  
Author(s):  
Jiguang Liang ◽  
Kai Zhang ◽  
Xiaofei Zhou ◽  
Yue Hu ◽  
Jianlong Tan ◽  
...  
Keyword(s):  
Matrix Factorization ◽  
Sentiment Classification ◽  
Cross Domain ◽  
Probabilistic Matrix Factorization

scholarly journals Recommendation Algorithm Based on Probabilistic Matrix Factorization with Adaboost

2020 ◽  
Vol 65 (2) ◽  
pp. 1591-1603
Author(s):  
Hongtao Bai ◽  
Xuan Li ◽  
Lili He ◽  
Longhai Jin ◽  
Chong Wang ◽  
...  
Keyword(s):  
Matrix Factorization ◽  
Recommendation Algorithm ◽  
Probabilistic Matrix Factorization
Sign in / Sign up

Export Citation Format

Share Document