No Inv.: 116653/S/Perp/09/1c~129679/SM/Perp/11/1c
No Inv.: 116590/S/Perp/09/1c~120434/SM/Perp/09/1c
Bibliografi : 199-202
Bibliografi : hlm. 253-258
A new unsupervised approach to the problem of Information Extraction by Text Segmentation (IETS) is proposed, implemented and evaluated herein. The authors’ approach relies on information available on pre-existing data to learn how to associate segments in the input string with attributes of a given domain relying on a very effective set of content-based features. The effectiveness of the con…
Bibliografi : hlm. 221-222
Bibliografi : hlm. 411 - 422
Bibliografi : hlm. 253