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» Rank Aggregation Based Text Feature Selection
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TREC
2004
13 years 11 months ago
The University of Michigan in Novelty 2004
This year we participated in the Novelty track. To find the relevant sentences, we combine sentence salience features that are inherited from text summarization domain with other ...
Günes Erkan
HICSS
2005
IEEE
132views Biometrics» more  HICSS 2005»
14 years 3 months ago
Multi-Expert Decision-Making with Linguistic Information: A Probabilistic-Based Model
It is well-known that linguistic decision-making problems that manage preferences from different experts follow a common resolution scheme composed by two phases: an aggregation p...
Van-Nam Huynh, Yoshiteru Nakamori
INLG
2010
Springer
13 years 7 months ago
A Discourse-Aware Graph-Based Content-Selection Framework
This paper presents an easy-to-adapt, discourse-aware framework that can be utilized as the content selection component of a generation system whose goal is to deliver descriptive...
Seniz Demir, Sandra Carberry, Kathleen F. McCoy
DMIN
2006
114views Data Mining» more  DMIN 2006»
13 years 11 months ago
Towards Using Fewer Features for Text Classification
Abstract-- Text classification or categorization is a conventional classification problem applied to the text domain. In the cases when statistical classification methods are used,...
Yuan Yuan, Tianyang Gu
ICIP
2005
IEEE
14 years 11 months ago
Feature selection with nonparametric statistics
In this paper we discuss a general framework for feature selection based on nonparametric statistics. The three stage approach we propose is based on the assumption that the avail...
Emanuele Franceschi, Francesca Odone, Fabrizio Sme...