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» Instance-Based Natural Language Generation
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142
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ACL
2006
15 years 4 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
97
Voted
FSTTCS
1993
Springer
15 years 6 months ago
Induce-Statements and Induce-Expressions: Constructs for Inductive Programming
A for-loop is somewhat similar to an inductive argument. Just as the truth of a proposition P(n + 1) depends on the truth of P(n), the correctness of iteration n+1 of a for-loop de...
Theodore S. Norvell
UML
2005
Springer
15 years 8 months ago
Specifying Precise Use Cases with Use Case Charts
Use cases are a popular method for capturing and structuring software requirements. The informality of use cases is both a blessing and a curse. It enables easy application and lea...
Jon Whittle
117
Voted
UAIS
2008
104views more  UAIS 2008»
15 years 2 months ago
A knowledge-based sign synthesis architecture
This paper presents the modules that comprise a knowledge-based sign synthesis architecture for Greek sign language (GSL). Such systems combine natural language (NL) knowledge, mac...
Stavroula-Evita Fotinea, Eleni Efthimiou, George C...
120
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LADS
2007
Springer
15 years 8 months ago
Goal Selection Strategies for Rational Agents
In agent theory and agent programming, goals constitute the motivational attitude of rational agents and form the key concept in explaining and generating their pro-active behavior...
Nick A. M. Tinnemeier, Mehdi Dastani, John-Jules C...