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Akhtar, Shazia, Reilly, Ronan and Dunnion, John (2001) Automating XML mark-up using a two stage machine learning technique. Other. UNSPECIFIED. (Unpublished)
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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: | https://mural.maynoothuniversity.ie/id/eprint/10454 |
| 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 |
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