Unsupervised zoning of scientific articles using huffman trees

Eugene Kagan, Irad Ben-Gal, Nataly Sharkov, Oded Maimon

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

Abstract

In this report we propose a new method of unsupervised zoning based on Huffman coding trees. The suggested method acts on the level of sentences and obtains a Huffman tree whose upper part is equal to the tree created by the method of argumentative zoning. The proposed method gives a general framework for the unsupervised zoning, and may be straightforwardly transformed to supervised zoning by mapping the bits defined by human annotator into features.

Original languageEnglish
Title of host publication2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2008
Pages399-402
Number of pages4
DOIs
StatePublished - 2008
Event2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2008 - Eilat, Israel
Duration: 3 Dec 20085 Dec 2008

Publication series

NameIEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings

Conference

Conference2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2008
Country/TerritoryIsrael
CityEilat
Period3/12/085/12/08

Keywords

  • Huffman coding
  • Symbolic dynamics
  • Text-mining
  • Unsupervised zoning

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