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CICLING
2004
Springer
15 years 7 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...
ACL
1997
15 years 3 months ago
Learning Features that Predict Cue Usage
Our goal is to identify the features that predict the occurrence and placement of discourse cues in tutorial explanations in order to aid in the automatic generation of explanatio...
Barbara Di Eugenio, Johanna D. Moore, Massimo Paol...
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JMLR
2010
95views more  JMLR 2010»
14 years 9 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov
MLCW
2005
Springer
15 years 8 months ago
Learning Textual Entailment on a Distance Feature Space
Textual Entailment recognition is a very difficult task as it is one of the fundamental problems in any semantic theory of natural language. As in many other NLP tasks, Machine Lea...
Maria Teresa Pazienza, Marco Pennacchiotti, Fabio ...
SIBGRAPI
2003
IEEE
15 years 7 months ago
Learning-Based versus Model-Based Log-Polar Feature Extraction Operators: A Comparative Study
In this paper, we compare two distinct primal sketch feature extraction operators: one based on neural network feature learning and the other based on mathematical models of the f...
Herman Martins Gomes, Robert B. Fisher