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» Automatic Extraction of Hierarchical Relations from Text
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KDD
1995
ACM
129views Data Mining» more  KDD 1995»
13 years 11 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
PERVASIVE
2006
Springer
13 years 8 months ago
Building Reliable Activity Models Using Hierarchical Shrinkage and Mined Ontology
Abstract. Activity inference based on object use has received considerable recent attention. Such inference requires statistical models that map activities to the objects used in p...
Emmanuel Munguia Tapia, Tanzeem Choudhury, Matthai...
PODS
2010
ACM
250views Database» more  PODS 2010»
14 years 1 months ago
From information to knowledge: harvesting entities and relationships from web sources
There are major trends to advance the functionality of search engines to a more expressive semantic level. This is enabled by the advent of knowledge-sharing communities such as W...
Gerhard Weikum, Martin Theobald
CIKM
2009
Springer
14 years 2 months ago
Towards a universal wordnet by learning from combined evidence
Lexical databases are invaluable sources of knowledge about words and their meanings, with numerous applications in areas like NLP, IR, and AI. We propose a methodology for the au...
Gerard de Melo, Gerhard Weikum
LREC
2008
146views Education» more  LREC 2008»
13 years 9 months ago
Lexical Ontology Extraction using Terminology Analysis: Automating Video Annotation
The majority of work described in this paper was conducted as part of the Recovering Evidence from Video by fusing Video Evidence Thesaurus and Video MetaData (REVEAL) project, sp...
Neil Newbold, Bogdan Vrusias, Lee Gillam