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COLING
2010
13 years 2 months ago
Leveraging Multiple MT Engines for Paraphrase Generation
This paper proposes a method that leverages multiple machine translation (MT) engines for paraphrase generation (PG). The method includes two stages. Firstly, we use a multi-pivot...
Shiqi Zhao, Haifeng Wang, Xiang Lan, Ting Liu
ICASSP
2011
IEEE
12 years 11 months ago
Leveraging the Web for automatically generating indexable and browsable keywords for speech files
This paper presents a method for generating indexable and browsable keyword metadata from ASR transcripts by leveraging the Web. Search engine queries are built from an ASR transc...
Kishan Thambiratnam, Gang Li, Sha Meng, Frank Seid...
ASPLOS
2004
ACM
14 years 27 days ago
Heat-and-run: leveraging SMT and CMP to manage power density through the operating system
Power density in high-performance processors continues to increase with technology generations as scaling of current, clock speed, and device density outpaces the downscaling of s...
Mohamed A. Gomaa, Michael D. Powell, T. N. Vijayku...
ECIS
2004
13 years 8 months ago
Leveraging Theoretical Pluralism in qualitative IS research: The example of IS professionals' identity as a complex phenomenon
As Information Systems (IS) research increasingly acknowledges the importance of non-positivist approaches, the case for a plurality of theories to guide qualitative studies has g...
Jo-Ann Siregar, Michael T. K. Tan
ICML
2004
IEEE
14 years 8 months ago
Leveraging the margin more carefully
Boosting is a popular approach for building accurate classifiers. Despite the initial popular belief, boosting algorithms do exhibit overfitting and are sensitive to label noise. ...
Nir Krause, Yoram Singer