i Data-Intensive Text Processing with MapReduce
with processing large amounts of text, but touches on other types of data as well (e.g., relational and graph data). The problems and solutions we discuss mostly fall into the disciplinary boundaries of natural language processing (NLP) and information retrieval (IR). Recent work in these elds is dominated by a data-driven, empirical approach,
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