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» Performance evaluation for text processing of noisy inputs
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SIGIR
2008
ACM
13 years 8 months ago
Optical character recognition errors and their effects on natural language processing
Errors are unavoidable in advanced computer vision applications such as optical character recognition, and the noise induced by these errors presents a serious challenge to downstr...
Daniel P. Lopresti
BMCBI
2008
125views more  BMCBI 2008»
13 years 8 months ago
Disambiguation of biomedical text using diverse sources of information
Background: Like text in other domains, biomedical documents contain a range of terms with more than one possible meaning. These ambiguities form a significant obstacle to the aut...
Mark Stevenson, Yikun Guo, Robert J. Gaizauskas, D...
ICASSP
2008
IEEE
14 years 2 months ago
Mutual features for robust identification and verification
Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...
Heiko Claussen, Justinian Rosca, Robert I. Damper
CIKM
2006
Springer
13 years 11 months ago
Concept frequency distribution in biomedical text summarization
Text summarization is a data reduction process. The use of text summarization enables users to reduce the amount of text that must be read while still assimilating the core inform...
Lawrence H. Reeve, Hyoil Han, Saya V. Nagori, Jona...
NAACL
2003
13 years 9 months ago
Automatic Extraction of Semantic Networks from Text using Leximancer
Leximancer is a software system for performing conceptual analysis of text data in a largely language independent manner. The system is modelled on Content Analysis and provides u...
Andrew E. Smith