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ACL
2006
13 years 9 months ago
2006
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
GECCO
2009
Springer
14 years 9 days ago
2009
Springer
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
ECIR
2009
Springer
14 years 4 months ago
2009
Springer
Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
VLDB
2004
ACM
14 years 8 months ago
2004
ACM
Technology in the field of digital media generates huge amounts of nontextual information, audio, video, and images, along with more familiar textual information. The potential for...
SIGIR
2006
ACM
14 years 1 months ago
2006
ACM
A common limitation of many retrieval models, including the recently proposed axiomatic approaches, is that retrieval scores are solely based on exact (i.e., syntactic) matching o...