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» Using Machine Learning and Text Mining in Question Answering
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CORR
2004
Springer
125views Education» more  CORR 2004»
14 years 9 months ago
Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities
This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3. The NRC system ...
Peter D. Turney
IJDMMM
2008
87views more  IJDMMM 2008»
14 years 9 months ago
Is an ordinal class structure useful in classifier learning?
In recent years, a number of machine learning algorithms have been developed for the problem of ordinal classification. These algorithms try to exploit, in one way or the other, t...
Jens C. Huhn, Eyke Hüllermeier
JMLR
2010
145views more  JMLR 2010»
14 years 4 months ago
Event based text mining for integrated network construction
The scientific literature is a rich and challenging data source for research in systems biology, providing numerous interactions between biological entities. Text mining technique...
Yvan Saeys, Sofie Van Landeghem, Yves Van de Peer
ASSETS
2009
ACM
15 years 4 months ago
Comparing evaluation techniques for text readability software for adults with intellectual disabilities
In this paper, we compare alternative techniques for evaluating a software system for simplifying the readability of texts for adults with mild intellectual disabilities (ID). We ...
Matt Huenerfauth, Lijun Feng, Noemie Elhadad
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
15 years 10 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...