Method for automatically generating regular expressions for relaxed matching of text patterns
a text pattern and automatic generation technology, applied in the field of automatic generation of regular expressions for relaxed matching of text patterns, can solve the problems of reducing the accuracy of information retrieval, limiting the ability of synonym dictionary, and hampered by restricted usability of known regular expression generation tools
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[0026]The goal of information extraction (IE) is to extract structured information from unstructured text (a.k.a. plain text) (e.g., documents, files, emails, web pages, etc.). In rule-based IE, rules are written that describe textual patterns of interest, which are to be extracted from unstructured text. Regular expressions are used for expressing such textual patterns of interest. As used herein, a regular expression is defined as a compact representation that describes a set of strings without listing all the elements of the set. A regular expression matches each of the strings in the set.
[0027]For example, consider the information extraction task of identifying text patterns that associate a person with his or her phone number. A text pattern of interest for this example is the phrase “can be reached at”. Using such a pattern, a rule-based IE system identifies occurrences of the form “ can be reached at ” and generates the corresponding pairs of related Persons and Pho...
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