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211
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CICLING
2010
Springer
15 years 10 months ago
ETL Ensembles for Chunking, NER and SRL
We present a new ensemble method that uses Entropy Guided Transformation Learning (ETL) as the base learner. The proposed approach, ETL Committee, combines the main ideas of Baggin...
Cícero Nogueira dos Santos, Ruy Luiz Milidi...
195
Voted
EMNLP
2009
15 years 4 months ago
Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Yusuke Miyao, Jun-ichi Tsujii
192
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NLDB
2007
Springer
16 years 1 months ago
Flexible and Customizable NL Representation of Requirements for ETL processes
The design of an Extract – Transform – Load (ETL) workflow for the population of a Data Warehouse is a complex and challenging procedure. In previous work, we have presented an...
Dimitrios Skoutas, Alkis Simitsis
191
Voted
TIME
2005
IEEE
16 years 13 days ago
Analysis of Timed Processes with Data Using Algebraic Transformations
The language of timed µCRL is an extension of an ACP-style process algebra-based language µCRL with time-related features. In this paper we describe this language and its equati...
Michel A. Reniers, Yaroslav S. Usenko
154
Voted
DAC
1998
ACM
16 years 7 months ago
Design and Specification of Embedded Systems in Java Using Successive, Formal Refinement
Successive, formal refinement is a new approach for specification of embedded systems using a general-purpose programming language. Systems are formally modeled as Abstractable Sy...
James Shin Young, Josh MacDonald, Michael Shilman,...