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» Extracting Domain Knowledge for Dialogue Model Adaptation
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IJCAI
2003
13 years 9 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
AH
2008
Springer
14 years 2 months ago
VUMA: A Visual User Modelling Approach for the Personalisation of Adaptive Systems
Current approaches to explicit user modelling are generally time consuming and tedious for the user. Oftentimes poor usability and overly long questionnaires deter the end user fro...
Melanie B. Späth, Owen Conlan
ICDE
2007
IEEE
125views Database» more  ICDE 2007»
14 years 1 months ago
Analyses and Fundamental ideas for a Relation Extraction Approach
Relation extraction is a difficult open research problem with important applications in several fields such as knowledge management, web mining, ontology building, intelligent sys...
Lobna Karoui, Marie-Aude Aufaure, Nacéra Be...
AAAI
2012
11 years 10 months ago
Discovering Constraints for Inductive Process Modeling
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
Ljupco Todorovski, Will Bridewell, Pat Langley
IJISTA
2006
113views more  IJISTA 2006»
13 years 7 months ago
Extraction of mid-level semantics from gesture videos using a Bayesian network
In this paper a method for extraction of mid-level semantics from sign language videos is proposed, by employing high level domain knowledge. The semantics concern labeling of the ...
Dimitrios I. Kosmopoulos, Ilias Maglogiannis