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» Extracting Large-Scale Knowledge Bases from the Web
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NLDB
2004
Springer
15 years 11 months ago
A Generic Coordination Model for Pervasive Computing Based on Semantic Web Languages
Human interaction occurs always in a specific context and in a particular environment, and a common knowledge base about them is essential for understanding each other. By immersi...
Amine Tafat, Michèle Courant, Béat H...
CMMR
2003
Springer
121views Music» more  CMMR 2003»
15 years 11 months ago
Evolving Automatically High-Level Music Descriptors from Acoustic Signals
High-Level music descriptors are key ingredients for music information retrieval systems. Although there is a long tradition in extracting information from acoustic signals, the fi...
François Pachet, Aymeric Zils
CIB
2004
83views more  CIB 2004»
15 years 6 months ago
Web-Based Semantic Pervasive Computing Services
Abstract-- Pervasive Computing refers to a seamless and invisible computing environment which provides dynamic, proactive and context-aware services to the user by acquiring contex...
Yugyung Lee, Soon Ae Chun, James Geller
ACL
2011
14 years 10 months ago
Template-Based Information Extraction without the Templates
Standard algorithms for template-based information extraction (IE) require predefined template schemas, and often labeled data, to learn to extract their slot fillers (e.g., an ...
Nathanael Chambers, Dan Jurafsky
KDD
2012
ACM
271views Data Mining» more  KDD 2012»
13 years 8 months ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...