Ling Liu's SC13 paper "Large Graph Processing Without the Overhead" featured by HPCwire.
Another list highlighting Open Source Software Releases.
Second GraphLab workshop should be even bigger than the first! GraphLab is a new programming framework for graph-style data analytics.
Language Modeling with Power Low Rank Ensembles
Proceedings of Conference on Empirical Methods on Natural Language Processing (EMNLP’14), October 2014. Best Paper Runner-up.
Ankur P. Parikh, Avneesh Saluja, Chris Dyer, Eric P. Xing
Carnegie Mellon University
We present power low rank ensembles (PLRE), a flexible framework for n-gram language modeling where ensembles of low rank matrices and tensors are used to obtain smoothed probability estimates of words in context. Our method can be understood as a generalization of n- gram modeling to non-integer n, and includes standard techniques such as absolute discounting and Kneser-Ney smoothing as special cases. PLRE training is efficient and our approach outperforms stateof- the-art modified Kneser Ney baselines in terms of perplexity on large corpora as well as on BLEU score in a downstream machine translation task.
FULL PAPER: pdf