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ACL
2012
13 years 10 months ago
Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining
Long-span features, such as syntax, can improve language models for tasks such as speech recognition and machine translation. However, these language models can be difficult to u...
Ariya Rastrow, Mark Dredze, Sanjeev Khudanpur
ACL
2012
13 years 10 months ago
Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation
An ideal summarization system should produce summaries that have high content coverage and linguistic quality. Many state-ofthe-art summarization systems focus on content coverage...
Ziheng Lin, Chang Liu, Hwee Tou Ng, Min-Yen Kan
IEEEPACT
2006
IEEE
16 years 1 months ago
Compiling for stream processing
This paper describes a compiler for stream programs that efficiently schedules computational kernels and stream memory operations, and allocates on-chip storage. Our compiler uses...
Abhishek Das, William J. Dally, Peter R. Mattson
GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
16 years 1 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...
SMA
2003
ACM
173views Solid Modeling» more  SMA 2003»
16 years 29 days ago
Automating the CAD/CAE dimensional reduction process
Dimensional reduction is a simplification technique that eliminates one or more dimensions from a boundary value problem. It results in significant computational savings with mini...
Krishnan Suresh