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ERCIMDL
2006
Springer
204views Education» more  ERCIMDL 2006»
13 years 8 months ago
Comparing and Combining Two Approaches to Automated Subject Classification of Text
A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach ...
Koraljka Golub, Anders Ardö, Dunja Mladenic, ...
NAACL
2010
13 years 2 months ago
Minimally-Supervised Extraction of Entities from Text Advertisements
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...
Sameer Singh, Dustin Hillard, Chris Leggetter
CLEF
2008
Springer
13 years 6 months ago
Experiments with Geographic Evidence Extracted from Documents
Abstract. For the 2008 participation at GeoCLEF, we focused on improving the extraction of geographic signatures from documents and optimising their use for GIR. The results show t...
Nuno Cardoso, Patrícia Sousa, Mário ...
ICPR
2010
IEEE
13 years 2 months ago
Improving Classification Accuracy by Comparing Local Features through Canonical Correlations
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...
Mert Dikmen, Thomas S. Huang
EMNLP
2009
13 years 2 months ago
Toward Completeness in Concept Extraction and Classification
Many algorithms extract terms from text together with some kind of taxonomic classification (is-a) link. However, the general approaches used today, and specifically the methods o...
Eduard H. Hovy, Zornitsa Kozareva, Ellen Riloff