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  • A. Gil, G. Dias
  • 2003
We describe an efficient implementation for mining textual associations from text corpora. In order to tackle real world applications, efficient algorithms and data structures are needed to manage, in reasonable time and space, the overgrowing volume of text data. For that purpose, we introduce a global architecture based on masks, suffix arrays and(More)
This document contains a rather incomplete bibliography of research in text summarization. Most papers are tagged with a sequence of topic codes: [S] for statistical summarization, [E] for evaluation, etc. The full list of codes is shown below. Topic Codes D = discourse model E = evaluation I = information extraction K = knowledge-based L = machine learning(More)
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