A Review of Relation Classification with Convolutional Neural Network

Authors

  • Kartik Dhiwar  Department of Computer Science and Engineering, SSGI, SSTC, Bhilai (CG), India
  • Abhishek Kumar Dewangan  Department of Computer Science and Engineering, SSGI, SSTC, Bhilai (CG), India

Keywords:

Relation Classification, Convolutional Neural Network, Features, Information Extraction.

Abstract

Relation classification is one of the important research issue in the field of Natural Language Processing (NLP). It is a crucial intermediate step in complex knowledge intensive applications like automatic knowledgebase construction, question answering, textual entailment, search engine etc. Recently neural network has given state of art results in various relation extraction tasks without depending much on manually engineered features. In this paper we present brief review on different model that has been proposed for relation classification and compare their results.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-12-31

Issue

Volume 2, Issue 2, March-April-2016

Section

Research Articles

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How to Cite

[1]
Kartik Dhiwar, Abhishek Kumar Dewangan, " A Review of Relation Classification with Convolutional Neural Network , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.1167-1171, March-April-2016.