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HIS
2001
13 years 5 months ago
Linear Discriminant Text Classification in High Dimension
Abstract. Linear Discriminant (LD) techniques are typically used in pattern recognition tasks when there are many (n >> 104 ) datapoints in low-dimensional (d < 102 ) spac...
András Kornai, J. Michael Richards
LREC
2010
187views Education» more  LREC 2010»
13 years 5 months ago
Ontology-Based Categorization of Web Services with Machine Learning
We present the problem of categorizing web services according to a shallow ontology for presentation on a specialist portal, using their WSDL and associated textual documents foun...
Adam Funk, Kalina Bontcheva
COLING
2008
13 years 5 months ago
Investigating Statistical Techniques for Sentence-Level Event Classification
The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Summarisation. In ...
Martina Naughton, Nicola Stokes, Joe Carthy
BIBM
2007
IEEE
13 years 8 months ago
Multi-topic Aspects in Clinical Text Classification
This paper investigates multi-topic aspects in automatic classification of clinical free text. In many practical situations, we need to deal with documents overlapping with multip...
Yutaka Sasaki, Brian Rea, Sophia Ananiadou
PRICAI
2004
Springer
13 years 9 months ago
Text Classification Using Belief Augmented Frames
: In this paper we present our work on applying Belief Augmented Frames to the text classification problem. We formulate the problem in two alternative ways, and we evaluate the pe...
Colin Keng-Yan Tan
ICPR
2008
IEEE
14 years 5 months ago
Structural poisson mixtures for classification of documents
Considering the statistical text classification problem we approximate class-conditional probability distributions by structurally modified Poisson mixtures. By introducing the st...
Jana Novovicová, Jiri Grim, Petr Somol