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» Trainable Methods for Surface Natural Language Generation
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79
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EMNLP
2009
14 years 7 months ago
Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
The design of practical language applications by means of statistical approaches requires annotated data, which is one of the most critical constraint. This is particularly true f...
Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...
78
Voted
SMA
2010
ACM
181views Solid Modeling» more  SMA 2010»
14 years 9 months ago
Merging and smoothing machining boundaries on cutter location surfaces
In region machining, neighbouring regions may be close together, but disconnected. Boundary curves may also have unwanted geometric artifacts caused by approximation and discretis...
Weishi Li, Ralph R. Martin, Frank C. Langbein
EACL
2010
ACL Anthology
14 years 9 months ago
Assessing the Trade-Off between System Building Cost and Output Quality in Data-to-Text Generation
Abstract. Data-to-text generation systems tend to be knowledge-based and manually built, which limits their reusability and makes them time and cost-intensive to create and maintai...
Anja Belz, Eric Kow
MODELS
2007
Springer
15 years 3 months ago
Using Domain-Specific Modeling to Generate User Interfaces for Wizards
The rising adoption and incorporation of computers into everyday life requires human-computer interaction methods to be efficient and easy to understand. Simultaneously, complexit...
Enis Afgan, Jeffrey G. Gray, Purushotham Bangalore
57
Voted
EMNLP
2010
14 years 7 months ago
Generating Confusion Sets for Context-Sensitive Error Correction
In this paper, we consider the problem of generating candidate corrections for the task of correcting errors in text. We focus on the task of correcting errors in preposition usag...
Alla Rozovskaya, Dan Roth