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» Directly optimizing evaluation measures in learning to rank
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SIGIR
2005
ACM
15 years 3 months ago
Controlling overlap in content-oriented XML retrieval
The direct application of standard ranking techniques to retrieve individual elements from a collection of XML documents often produces a result set in which the top ranks are dom...
Charles L. A. Clarke
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
14 years 8 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
86
Voted
LREC
2008
105views Education» more  LREC 2008»
14 years 11 months ago
Extraction and Evaluation of Keywords from Learning Objects: a Multilingual Approach
We report about a project which brings together Natural Language Processing and eLearning. One of the functionalities developed within this project is the possibility to annotate ...
Lothar Lemnitzer, Paola Monachesi
98
Voted
EMNLP
2008
14 years 11 months ago
Arabic Named Entity Recognition using Optimized Feature Sets
The Named Entity Recognition (NER) task has been garnering significant attention in NLP as it helps improve the performance of many natural language processing applications. In th...
Yassine Benajiba, Mona T. Diab, Paolo Rosso
ICDM
2002
IEEE
448views Data Mining» more  ICDM 2002»
15 years 2 months ago
Feature Selection Algorithms: A Survey and Experimental Evaluation
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
Luis Carlos Molina, Lluís Belanche, À...