MapReduce
Related Papers
Fast, Easy, and Cheap: Construction of Statistical Machine Translation Models with MapReduce
In recent years, the quantity of parallel train- ing data available for statistical machine trans- lation has increased far more rapidly than the performance of individual computers, re- sulting in …...
Scalable Language Processing Algorithms for the Masses: A Case Study in Computing Word Co-occurrence Matrices with MapReduce
This paper explores the challenge of scaling up language processing algorithms to increas- ingly large datasets. While cluster comput- ing has been available in commercial environ- ments for several years, …...
Web-Scale Distributional Similarity and Entity Set Expansion
Computing the pairwise semantic similarity between all words on the Web is a compu- tationally challenging task. Parallelization and optimizations are necessary. We pro- pose a highly scalable implementation based …...
REFRACTIVE: An Open Source Tool to Extract Knowledge from Syntactic and Semantic Relations
AbstractThe extraction of semantic propositions has proven instrumental in applications like IBM Watson and in Google’s knowledge graph . One of the core components of IBM Watson is the PRISMATIC …...