1471 search results - page 36 / 295 » Word Importance Discrimination Using Context Information |
ECML
2007
Springer
15 years 4 months ago
2007
Springer
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Feature-space transforms such as feature-space maximum likelihood linear regression (FMLLR) are very effective speaker adaptation technique, especially on mismatched test data. In...
112
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ACIVS
2006
Springer
15 years 1 months ago
2006
Springer
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
EMNLP
2007
14 years 11 months ago
2007
In this paper, we address a unique problem in Chinese language processing and report on our study on extending a Chinese thesaurus with region-specific words, mostly from the fina...
109
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DICTA
2009
14 years 11 months ago
2009
Abstract--Context plays a valuable role in any image understanding task confirmed by numerous studies which have shown the importance of contextual information in computer vision t...