@inproceedings{9d04690f865b4fac8266f4bf84daa176,
title = "Unsupervised zoning of scientific articles using huffman trees",
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.",
keywords = "Huffman coding, Symbolic dynamics, Text-mining, Unsupervised zoning",
author = "Eugene Kagan and Irad Ben-Gal and Nataly Sharkov and Oded Maimon",
year = "2008",
doi = "10.1109/EEEI.2008.4736557",
language = "אנגלית",
isbn = "9781424424825",
series = "IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings",
pages = "399--402",
booktitle = "2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2008",
note = "2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2008 ; Conference date: 03-12-2008 Through 05-12-2008",
}