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» Making Documents Work: Challenges for Document Understanding
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144
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CIKM
2006
Springer
15 years 7 months ago
Multi-evidence, multi-criteria, lazy associative document classification
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
127
Voted
WSDM
2009
ACM
117views Data Mining» more  WSDM 2009»
15 years 10 months ago
Query by document
We are experiencing an unprecedented increase of content contributed by users in forums such as blogs, social networking sites and microblogging services. Such abundance of conten...
Yin Yang, Nilesh Bansal, Wisam Dakka, Panagiotis G...
200
Voted
IHI
2012
266views Healthcare» more  IHI 2012»
13 years 11 months ago
A software tool for large-scale sharing and querying of clinical documents modeled using HL7 version 3 standard
We present a novel software tool called CDN (Collaborative Data Network) for large-scale sharing and querying of clinical documents modeled using HL7 v3 standard (e.g., Clinical D...
Praveen R. Rao, Tivakar Komara Swami, Deepthi S. R...
140
Voted
CIKM
2010
Springer
15 years 2 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
117
Voted
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
15 years 7 months ago
Characterizing large text corpora using a maximum variation sampling genetic algorithm
An enormous amount of information available via the Internet exists. Much of this data is in the form of text-based documents. These documents cover a variety of topics that are v...
Robert M. Patton, Thomas E. Potok