Dictionary-based methods for information extraction

A. Baronchelli, E. Caglioti, V. Loreto and E. Pizzi

Physica A: Statistical Mechanics and its Applications, 2004, vol. 342, issue 1, 294-300

Abstract: In this paper, we present a general method for information extraction that exploits the features of data compression techniques. We first define and focus our attention on the so-called dictionary of a sequence. Dictionaries are intrinsically interesting and a study of their features can be of great usefulness to investigate the properties of the sequences they have been extracted from e.g. DNA strings. We then describe a procedure of string comparison between dictionary-created sequences (or artificial texts) that gives very good results in several contexts. We finally present some results on self-consistent classification problems.

Keywords: Information extraction; Data compression; Sequence analysis (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:342:y:2004:i:1:p:294-300

DOI: 10.1016/j.physa.2004.01.072

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