Vector Representation for Sub-Graph Encoding to Resolve Entities-Reference-Cited by-同舟云学术

Vector Representation for Sub-Graph Encoding to Resolve Entities

Published:2016 Issue: Volume:95 Page:327-334
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Guo Jinhong K.,Van Brackle David,Lofaso Nicolas,Hofmann Martin O.

Publisher

Elsevier BV

Subject

General Engineering

Reference14 articles.

1. Paradis, P.D., (2013) Guo, J.K., Moulton, J., Cameron, D., Kanerva, P., Finding Semantic Equivalence of Text Using Random Index Vectors, Complex Adaptive Systems 2013.

2. Paradis, R.D.(2013a), Moulton, J., Guo, J.K., Kanerva, P., Using Random Index Vectors for Semantic Equivalence of Text using WordNet, poster presentation, IJCNN 2013.

3. Guo, J.K., Van Brackle, D. and Hofmann, M.O., Enhancing A Rule-Based Event Coder with Semantic Vectors, Complex Adaptive Systems, 2014.

4. Entity Resolution: Theory, Practice, and Open Challenges, Tutorial at AAAI-12 http://linqs.cs.umd.edu/projects//Tutorials/ER-AAAI12/Home.html.

5. Ananthakrishna, R., Chaudhuri, S., and Ganti, V. 2002. Eliminating fuzzy duplicates in data warehouses. In The International Conference on Very Large Databases (VLDB). Hong Kong, China.

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