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EMNLP
2007
13 years 10 months ago
Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources
We present a new approach to automatic summarization based on neural nets, called NetSum. We extract a set of features from each sentence that helps identify its importance in the...
Krysta Marie Svore, Lucy Vanderwende, Christopher ...
AIRS
2010
Springer
13 years 5 months ago
Event Recognition from News Webpages through Latent Ingredients Extraction
We investigate the novel problem of event recognition from news webpages. "Events" are basic text units containing news elements. We observe that a news article is always...
Rui Yan, Yu Li, Yan Zhang, Xiaoming Li
SP
2010
IEEE
140views Security Privacy» more  SP 2010»
14 years 9 days ago
Inspector Gadget: Automated Extraction of Proprietary Gadgets from Malware Binaries
Abstract—Unfortunately, malicious software is still an unsolved problem and a major threat on the Internet. An important component in the fight against malicious software is the...
Clemens Kolbitsch, Thorsten Holz, Christopher Krue...
BMCBI
2008
185views more  BMCBI 2008»
13 years 8 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, ...
DKE
2007
132views more  DKE 2007»
13 years 8 months ago
Automated ontology construction for unstructured text documents
Ontology is playing an increasingly important role in knowledge management and the Semantic Web. This study presents a novel episode-based ontology construction mechanism to extra...
Chang-Shing Lee, Yuan-Fang Kao, Yau-Hwang Kuo, Mei...