Akhtar, Shazia and Reilly, Ronan and Dunnion, John (2001) Automating XML mark-up using a two stage machine learning technique. Other. UNSPECIFIED. (Unpublished)

Preview

Download (120kB) | Preview

Abstract

We introduce a novel two-stage automatic XML mark-up system, which combines the WEBSOM approach to document categorisation in conjunction with the C5 inductive learning algorithm. The WEBSOM method clusters the XML marked-up documents such that semantically similar documents lie close together on a Self-Organising Map (SOM). The C5 algorithm automatically learns and applies mark-up rules derived from the nearest SOM neighbours of an unmarked document. The system learns from mark-up errors to improve accuracy. The automatically marked-up documents produced by the system are also categorized on the Self-Organizing Map, to further refine SOM's document coverage.

Item Type:	Monograph (Other)
Keywords:	automatic mark-up; C5/See5; machine learning; Self-organizing Map; WEBSOM; XML;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	10454
Depositing User:	Prof. Ronan Reilly
Date Deposited:	23 Jan 2019 17:34
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads