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ICPR
2000
IEEE
14 years 1 months ago
Statistical-Based Approach to Word Segmentation
Thispaper presents a text word extraction algorithm that takes a set of bounding boxes of glyphs and their associated text lines of a given document andpartitions the glyphs into ...
Yalin Wang, Robert M. Haralick, Ihsin T. Phillips
EMNLP
2004
13 years 10 months ago
Unsupervised Domain Relevance Estimation for Word Sense Disambiguation
This paper presents Domain Relevance Estimation (DRE), a fully unsupervised text categorization technique based on the statistical estimation of the relevance of a text with respe...
Alfio Massimiliano Gliozzo, Bernardo Magnini, Carl...
CICLING
2004
Springer
14 years 2 months ago
Automatic Learning Features Using Bootstrapping for Text Categorization
When text categorization is applied to complex tasks, it is tedious and expensive to hand-label the large amounts of training data necessary for good performance. In this paper, we...
Wenliang Chen, Jingbo Zhu, Honglin Wu, Tianshun Ya...
WCE
2007
13 years 10 months ago
A Comparison of Classification Techniques for Technical Text Passages
— Our work explores the use of several text categorization techniques for classification of manufacturing quality defect and service shop data sets into fixed categories. Althoug...
Mark M. Kornfein, Helena Goldfarb
COLING
2002
13 years 8 months ago
Hierarchical Orderings of Textual Units
Text representation is a central task for any approach to automatic learning from texts. It requires a format which allows to interrelate texts even if they do not share content w...
Alexander Mehler