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» Evaluation of text clustering methods using wordnet
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ICDAR
2011
IEEE
14 years 6 months ago
Text-Line Extraction Using a Convolution of Isotropic Gaussian Filter with a Set of Line Filters
—Text-line extraction is a key task in document analysis. Methods based on anisotropic Gaussian filtering and ridge detection have shown good results. This paper describes perfo...
Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breu...
AUSAI
2001
Springer
15 years 10 months ago
Fast Text Classification Using Sequential Sampling Processes
A central problem in information retrieval is the automated classification of text documents. While many existing methods achieve good levels of performance, they generally require...
Michael D. Lee
EMNLP
2009
15 years 4 months ago
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
Kedar Bellare, Andrew McCallum
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
16 years 6 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi
JAIR
2008
118views more  JAIR 2008»
15 years 6 months ago
On the Use of Automatically Acquired Examples for All-Nouns Word Sense Disambiguation
This article focuses on Word Sense Disambiguation (WSD), which is a Natural Language Processing task that is thought to be important for many Language Technology applications, suc...
David Martínez, Oier Lopez de Lacalle, Enek...