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Chapter and Conference Paper
A Multiple-Stage Approach to Re-ranking Medical Documents
The widespread use of the Web has radically changed the way people acquire medical information. Every day, patients, their caregivers, and doctors themselves search for medical information to resolve their med...
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Chapter and Conference Paper
Semantic Rule-Based Determination of Cancer Stages from Free-Text Radiology Reports
Cancer staging provides a basis not only for determining proper treatments for a patient but also for making future national-wide health plans. Despite its benefits, it is very difficult to obtain staging data...
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Chapter and Conference Paper
Feasibility Study for Procedural Knowledge Extraction in Biomedical Documents
We propose how to extract procedural knowledge rather than declarative knowledge utilizing machine learning method with deep language processing features in scientific documents, as well as how to model it. We...
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Chapter and Conference Paper
Text Classification for a Large-Scale Taxonomy Using Dynamically Mixed Local and Global Models for a Node
Hierarchical text classification for a large-scale Web taxonomy is challenging because the number of categories hierarchically organized is large and the training data for deep categories are usually sparse. I...
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Chapter and Conference Paper
Procedural Knowledge Extraction on MEDLINE Abstracts
Text mining is a popular methodology for building Technology Intelligence which helps companies or organizations to make better decisions by providing knowledge about the state-of-the-art technologies obtained...