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85
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ACL
2006
15 years 5 months ago
Scalable Inference and Training of Context-Rich Syntactic Translation Models
Statistical MT has made great progress in the last few years, but current translation models are weak on re-ordering and target language fluency. Syntactic approaches seek to reme...
Michel Galley, Jonathan Graehl, Kevin Knight, Dani...
126
Voted
STORYTELLING
2007
Springer
15 years 9 months ago
Wide Ruled: A Friendly Interface to Author-Goal Based Story Generation
We present Wide Ruled, an authoring tool for the creation of generative stories. It is based on the Universe author-goal-based model of story generation, and extends this model by ...
James Skorupski, Lakshmi Jayapalan, Sheena Marquez...
136
Voted
APCSAC
2005
IEEE
15 years 9 months ago
Rule-Based Power-Balanced VLIW Instruction Scheduling with Uncertainty
Abstract. Power-balanced instruction scheduling for Very Long Instruction Word (VLIW) processors is an optimization problem which requires a good instruction-level power model for ...
Shu Xiao, Edmund Ming-Kit Lai, A. Benjamin Premkum...
99
Voted
CORR
1998
Springer
113views Education» more  CORR 1998»
15 years 3 months ago
Letter to Sound Rules for Accented Lexicon Compression
This paper presents trainable methods for generating letter to sound rules from a given lexicon for use in pronouncing out-ofvocabulary words and as a method for lexicon compressi...
V. Pagel, Kevin Lenzo, Alan W. Black
147
Voted
PKDD
2010
Springer
168views Data Mining» more  PKDD 2010»
15 years 2 months ago
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...