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IJCNLP
2005
Springer
14 years 1 months ago
Automatic Discovery of Attribute Words from Web Documents
We propose a method of acquiring attribute words for a wide range of objects from Japanese Web documents. The method is a simple unsupervised method that utilizes the statistics of...
Kosuke Tokunaga, Jun'ichi Kazama, Kentaro Torisawa
ICDM
2006
IEEE
164views Data Mining» more  ICDM 2006»
14 years 1 months ago
Unsupervised Learning of Tree Alignment Models for Information Extraction
We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
Philip Zigoris, Damian Eads, Yi Zhang
FLAIRS
2007
13 years 10 months ago
Contextual Concept Discovery Algorithm
In this paper, we focus on the ontological concept extraction and evaluation process from HTML documents. In order to improve this process, we propose an unsupervised hierarchical...
Lobna Karoui, Marie-Aude Aufaure, Nacéra Be...
ICIP
2001
IEEE
14 years 9 months ago
Similarity measure for CCITT Group 4 compressed document images
Similarity measure of document images acts a crucial role in the area of document image retrieval. A method of measuring the similarity of CCITT Group 4 compressed document images...
Yue Lu, Chew Lim Tan, Liying Fan, Weihua Huang
LREC
2008
102views Education» more  LREC 2008»
13 years 9 months ago
Unsupervised Learning-based Anomalous Arabic Text Detection
The growing dependence of modern society on the Web as a vital source of information and communication has become inevitable. However, the Web has become an ideal channel for vari...
Nasser Abouzakhar, Ben Allison, Louise Guthrie