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» Learning Probabilistic Models of Word Sense Disambiguation
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ISMIR
2004
Springer
190views Music» more  ISMIR 2004»
15 years 3 months ago
Disambiguating Music Emotion Using Software Agents
Annotating music poses a cognitive load on listeners and this potentially interferes with the emotions being reported. One solution is to let software agents learn to make the ann...
Dan Yang, WonSook Lee
AIED
2009
Springer
15 years 4 months ago
Assessing Student Paraphrases Using Lexical Semantics and Word Weighting
We present in this paper an approach to assessing student paraphrases in the intelligent tutoring system iSTART. The approach is based on measuring the semantic similarity between ...
Vasile Rus, Mihai C. Lintean, Arthur C. Graesser, ...
CIKM
2009
Springer
15 years 2 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
JMLR
2011
192views more  JMLR 2011»
14 years 4 months ago
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
TCS
2008
14 years 9 months ago
Computation of distances for regular and context-free probabilistic languages
Several mathematical distances between probabilistic languages have been investigated in the literature, motivated by applications in language modeling, computational biology, syn...
Mark-Jan Nederhof, Giorgio Satta