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JCST
2008
138views more  JCST 2008»
14 years 11 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003
EDM
2009
120views Data Mining» more  EDM 2009»
14 years 9 months ago
Improving Student Question Classification
Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to...
Cecily Heiner, Joseph L. Zachary
IEAAIE
2011
Springer
14 years 3 months ago
Informative Sentence Retrieval for Domain Specific Terminologies
Domain specific terminologies represent important concepts when students study a subject. If the sentences which describe important concepts related to a terminology can be accesse...
Jia-Ling Koh, Chin-Wei Cho
SIGIR
2011
ACM
14 years 2 months ago
Cluster-based fusion of retrieved lists
Methods for fusing document lists that were retrieved in response to a query often use retrieval scores (or ranks) of documents in the lists. We present a novel probabilistic fusi...
Anna Khudyak Kozorovitzky, Oren Kurland
ICDM
2002
IEEE
448views Data Mining» more  ICDM 2002»
15 years 4 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...