Papers for Relevance Assessment by Constantinos Boulis

Research Question: Feature Selection problem. How to select the most useful features for a classification task

Paper ID
(Link to PDF)

Title

Author(s)

decadt

GAMBL, genetic algorithm optimization of memory-based WSD

Bart Decadt, Véronique Hoste, Walter Daelemans and Antal Van den Bosch

197_Paper

MMR-based Feature Selection for Text Categorization

Changki Lee and Gary Geunbae Lee

blatak

Fragments and Text Categorization

Jan Blaták, Eva Mráková and Lubos Popelínsky

W00-0720

Shallow Parsing by Inferencing with Classifiers

Vasin Punyakanok ; Dan Roth

W03-1106

Text Classification in Asian Languages without Word Segmentation

Fuchun Peng; Xiangji Huang; Dale Schuurmans; Shaojun Wang

W03-1305

Two-Phase Biomedical NE Recognition based on SVMs

Ki-Joong Lee; Young-Sook Hwang; Hae-Chang Rim

W03-1316

Selecting Text Features for Gene Name Classification: from Documents to Terms

Goran Nenadic; Simon Rice; Irena Spasic; Sophia Ananiadou; Benjamin Stapley

342_pdf_2-col

Convolution Kernels with Feature Selection for Natural Language Processing Tasks

Jun Suzuki, Hideki Isozaki and Eisaku Maeda

W03-1107

Feature Selection in Categorizing Procedural Expressions

Mineki Takechi; Takenobu Tokunaga; Yuji Matsumoto; Hozumi Tanaka

88-157

Linguistic correlates of style: authorship classification with deep linguistic analysis features

Michael Gamon

escudero

TALP system for the English lexical sample task

Gerard Escudero, Lluis Màrquez and German Rigau

schneider

A New Feature Selection Score for Multinomial Naive Bayes Text Classification Based on KL-Divergence

Karl-Michael Schneider

121-637

Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis

Michael Gamon

C82-2021

MERGING - THE ART OF REPRESENTING DIFFERENT LEVELS OF SENTENCE STRUCTURE IN A SINGLE ANALYSIS TREE

Frank Van Eynde

W03-1105

Poisson Naive Bayes for Text Classification with Feature Weighting

Sang-Bum Kim; Hee-Cheol Seo; Hae-Chang Rim