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» Evaluating machine learning for information extraction
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GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 7 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
AI
2008
Springer
15 years 8 months ago
Verbs Speak Loud: Verb Categories in Learning Polarity and Strength of Opinions
In this work we show that verbs reliably represent texts when machine learning algorithms are used to learn opinions. We identify semantic verb categories that capture essential pr...
Marina Sokolova, Guy Lapalme
114
Voted
COLING
2002
15 years 1 months ago
Inducing Information Extraction Systems for New Languages via Cross-language Projection
Information extraction (IE) systems are costly to build because they require development texts, parsing tools, and specialized dictionaries for each application domain and each na...
Ellen Riloff, Charles Schafer, David Yarowsky
122
Voted
RIAO
2000
15 years 3 months ago
Learning for Sequence Extraction Tasks
We consider the application of machine learning techniques for sequence modeling to Information Retrieval (IR) and surface Information Extraction (IE) tasks. We introduce a generi...
Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinar...
130
Voted
ECIR
2003
Springer
15 years 3 months ago
A Machine Learning Approach for the Curation of Biomedical Literature
In this paper, we present an automated text classification system for the classification of biomedical papers. This classification is based on whether there is experimental eviden...
Min Shi, David S. Edwin, Rakesh Menon, Lixiang She...