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» Language Dynamics and Capitalization using Maximum Entropy
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CIKM
2005
Springer
14 years 17 days ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
NAACL
1994
13 years 8 months ago
A Hybrid Approach to Adaptive Statistical Language Modeling
We desert'be our latest attempt at adaptive language modeling. At the heart of our approachis a Maximum Entropy(ME) modelwhich inc.orlxnatesmanyknowledgesources in a consiste...
Ronald Rosenfeld
NLPRS
2001
Springer
13 years 11 months ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...
ASPLOS
2010
ACM
14 years 1 months ago
Power routing: dynamic power provisioning in the data center
Data center power infrastructure incurs massive capital costs, which typically exceed energy costs over the life of the facility. To squeeze maximum value from the infrastructure,...
Steven Pelley, David Meisner, Pooya Zandevakili, T...
EXPCS
2007
13 years 11 months ago
Introducing entropies for representing program behavior and branch predictor performance
Predictors are inherent components of state-of-the-art microprocessors. Branch predictors are discussed actively from diverse perspectives. Performance of a branch predictor large...
Takashi Yokota, Kanemitsu Ootsu, Takanobu Baba