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» Generation of Informative Texts with Style
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TOIS
2010
128views more  TOIS 2010»
15 years 2 months ago
Learning author-topic models from text corpora
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
CIKM
2009
Springer
15 years 11 months ago
A machine learning approach for improved BM25 retrieval
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
Krysta Marie Svore, Christopher J. C. Burges
AMKM
2003
Springer
15 years 9 months ago
Agentized, Contextualized Filters for Information Management
Every time a user engaged in work reads or writes, the user spontaneously generates new information needs: to understand the text he or she is reading or to supply more substance ...
David A. Evans, Gregory Grefenstette, Yan Qu, Jame...
BMCBI
2008
173views more  BMCBI 2008»
15 years 4 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...
DOCENG
2005
ACM
15 years 6 months ago
Towards active web clients
Recent developments of document technologies have strongly impacted the evolution of Web clients over the last fifteen years, but all Web clients have not taken the same advantag...
Vincent Quint, Irène Vatton