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GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
14 years 23 days ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
SERP
2004
13 years 9 months ago
A Three Level Framework for Process Support: The MOWAHS Approach
A common assumption for many process-centred support environments is that they provide the same process support at different levels of the organization. We believe that the requir...
Alf Inge Wang, Carl-Fredrik Sørensen, Reida...
LREC
2008
146views Education» more  LREC 2008»
13 years 9 months ago
On the Use of Web Resources and Natural Language Processing Techniques to Improve Automatic Speech Recognition Systems
Language models used in current automatic speech recognition systems are trained on general-purpose corpora and are therefore not relevant to transcribe spoken documents dealing w...
Gwénolé Lecorvé, Guillaume Gr...
EMNLP
2008
13 years 9 months ago
Scalable Language Processing Algorithms for the Masses: A Case Study in Computing Word Co-occurrence Matrices with MapReduce
This paper explores the challenge of scaling up language processing algorithms to increasingly large datasets. While cluster computing has been available in commercial environment...
Jimmy J. Lin
DKE
2008
88views more  DKE 2008»
13 years 7 months ago
Quantifying process equivalence based on observed behavior
In various application domains there is a desire to compare process models, e.g., to relate an organization-specific process model to a reference model, to find a web service matc...
Ana Karla Alves de Medeiros, Wil M. P. van der Aal...