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» Unsupervised Relation Extraction From Web Documents
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CIKM
2006
Springer
13 years 11 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...
BMCBI
2007
128views more  BMCBI 2007»
13 years 8 months ago
Userscripts for the Life Sciences
Background: The web has seen an explosion of chemistry and biology related resources in the last 15 years: thousands of scientific journals, databases, wikis, blogs and resources ...
Egon L. Willighagen, Noel M. O'Boyle, Harini Gopal...
EMNLP
2009
13 years 5 months ago
Character-level Analysis of Semi-Structured Documents for Set Expansion
Set expansion refers to expanding a partial set of "seed" objects into a more complete set. One system that does set expansion is SEAL (Set Expander for Any Language), w...
Richard C. Wang, William W. Cohen
ICWE
2004
Springer
14 years 1 months ago
Accelerating Dynamic Web Content Delivery Using Keyword-Based Fragment Detection
The recent trend in the Internet traffic is increasing in requests for dynamic and personalized content. To efficiently serve this trend, several serverside and cache-side fragme...
Daniel Brodie, Amrish Gupta, Weisong Shi
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
14 years 8 months ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho