Coordination of Operations by Relation Extraction for Manufacturing Cell Controllers

2010 ◽  
Vol 18 (2) ◽  
pp. 414-429 ◽  
Author(s):  
Kristin Andersson ◽  
Johan Richardsson ◽  
Bengt Lennartson ◽  
Martin Fabian
Keyword(s):  
Relation Extraction ◽  
Manufacturing Cell ◽  
Cell Controllers

Generation of restart states for manufacturing cell controllers

2011 ◽  
Vol 19 (9) ◽  
pp. 1014-1022 ◽  
Author(s):  
K. Andersson ◽  
B. Lennartson ◽  
P. Falkman ◽  
M. Fabian
Keyword(s):  
Manufacturing Cell ◽  
Cell Controllers

A Proposal to Increase the Flexibility of Manufacturing Cell Controllers

1998 ◽  
Vol 31 (4) ◽  
pp. 59-63
Author(s):  
Jesús Sánchez ◽  
Maricela Quintana
Keyword(s):  
Manufacturing Cell ◽  
Cell Controllers

scholarly journals Synthesis of Restart States for Manufacturing Cell Controllers

2009 ◽  
Vol 42 (5) ◽  
pp. 263-268 ◽  
Author(s):  
Kristin Andersson ◽  
Bengt Lennartson ◽  
Martin Fabian
Keyword(s):  
Manufacturing Cell ◽  
Cell Controllers

Agile Analysis of Manufacturing Cell Costs for Molding of Small Composite Parts

2019 ◽  
Author(s):  
Daniel Charles ◽  
Michael Matlack ◽  
Gail Hahn
Keyword(s):  
Manufacturing Cell

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.

Distant Supervision for Relation Extraction with Matrix Completion

2014 ◽  
Author(s):  
Miao Fan ◽  
Deli Zhao ◽  
Qiang Zhou ◽  
Zhiyuan Liu ◽  
Thomas Fang Zheng ◽  
...  
Keyword(s):  
Matrix Completion ◽  
Relation Extraction ◽  
Distant Supervision

Graph-Based Semi-Supervised Relation Extraction

2009 ◽  
Vol 19 (11) ◽  
pp. 2843-2852 ◽  
Author(s):  
Jin-Xiu CHEN ◽  
Dong-Hong JI
Keyword(s):  
Relation Extraction
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