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» Using Machine Learning and Text Mining in Question Answering
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BMCBI
2008
185views more  BMCBI 2008»
14 years 9 months ago
Mining clinical relationships from patient narratives
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
Angus Roberts, Robert J. Gaizauskas, Mark Hepple, ...
ADC
2010
Springer
214views Database» more  ADC 2010»
14 years 4 months ago
Building a dynamic classifier for large text data collections
Due to the lack of in-built tools to navigate the web, people have to use external solutions to find information. The most popular of these are search engines and web directories....
Pavel Kalinov, Bela Stantic, Abdul Sattar
83
Voted
NLE
2010
104views more  NLE 2010»
14 years 8 months ago
Interlingual annotation of parallel text corpora: a new framework for annotation and evaluation
This paper focuses on an important step in the creation of a system of meaning representation and the development of semantically-annotated parallel corpora, for use in applicatio...
Bonnie J. Dorr, Rebecca J. Passonneau, David Farwe...
ICML
2010
IEEE
14 years 10 months ago
Asymptotic Analysis of Generative Semi-Supervised Learning
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...
Joshua Dillon, Krishnakumar Balasubramanian, Guy L...
80
Voted
ICDM
2009
IEEE
198views Data Mining» more  ICDM 2009»
15 years 4 months ago
Information Extraction for Clinical Data Mining: A Mammography Case Study
Abstract—Breast cancer is the leading cause of cancer mortality in women between the ages of 15 and 54. During mammography screening, radiologists use a strict lexicon (BI-RADS) ...
Houssam Nassif, Ryan Woods, Elizabeth S. Burnside,...