Applying the Perceptron Rule for Extraction of Keywords from Abstracts

Yaakov Hacohen-Kerner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this ongoing work, we investigate a model that applies the perceptron training rule for extraction of keywords from abstracts and titles. We have tested our model on a set of abstracts of Academic papers containing keywords composed by the authors. Current results have not indicated any success of our learning approach.

Original languageEnglish
Title of host publication16th International Conference on Computer Applications in Industry and Engineering 2003, CAINE 2003
EditorsKendall E. Nygard
PublisherInternational Society for Computers and Their Applications (ISCA)
Pages336
Number of pages1
ISBN (Electronic)9781618395368
StatePublished - 2003
Externally publishedYes
Event16th International Conference on Computer Applications in Industry and Engineering, CAINE 2003 - Las Vegas, United States
Duration: 11 Nov 200313 Nov 2003

Publication series

Name16th International Conference on Computer Applications in Industry and Engineering 2003, CAINE 2003

Conference

Conference16th International Conference on Computer Applications in Industry and Engineering, CAINE 2003
Country/TerritoryUnited States
CityLas Vegas
Period11/11/0313/11/03

Bibliographical note

Publisher Copyright:
Copyright © (2003) by the International Society for Computers and Their Applications. All rights reserved.

Keywords

  • abstracts
  • keywords extraction
  • learning
  • perceptron
  • text summarization
  • titles

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