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IJCAI
2003
13 years 10 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
SIGMOD
2008
ACM
131views Database» more  SIGMOD 2008»
14 years 9 months ago
Domain adaptation of information extraction models
Domain adaptation refers to the process of adapting an extraction model trained in one domain to another related domain with only unlabeled data. We present a brief survey of exis...
Rahul Gupta, Sunita Sarawagi
ACOM
2004
Springer
14 years 2 months ago
Dialogization and Implicit Information in an Agent Communicational Model
In this paper we propose a computational model for human-agent and agent-agent conversation. This model has two fundamental characteristics: (1) it takes into account the implicit ...
Karim Bouzouba, Jamal Bentahar, Bernard Moulin
CAAN
2004
Springer
14 years 2 months ago
Limits and Power Laws of Models for the Web Graph and Other Networked Information Spaces
We consider a generalized copy model of the web graph and related networks, and analyze its limiting behaviour. The model is motivated by previously proposed copying models of the ...
Anthony Bonato, Jeannette C. M. Janssen
QEST
2009
IEEE
14 years 3 months ago
On the Impact of Modelling Choices for Distributed Information Spread
—We consider a distributed shuffling algorithm for sharing data in a distributed network. Nodes executing the algorithm periodically contact each other and exchange data. The be...
Rena Bakhshi, Ansgar Fehnker