Information extraction from documents with regular...

Electrical computers and digital data processing systems: input/ – Input/output data processing – Peripheral monitoring

Reexamination Certificate

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C710S065000, C707S793000, C707S793000, C707S793000, C705S001100, C705S002000

Reexamination Certificate

active

06842796

ABSTRACT:
Techniques are provided for enumerating regularly identifiable or stereotypical phrases that people commonly use to convey particular information, and where exactly in these phrases the particular information is to be found. In one embodiment, such phrases are referred to as “regular expressions.” Using such enumerated phrases, the invention is able to automatically identify them in an input data stream and then identify and extract the particular information associated with the phrase that is being sought, e.g., important or relevant information.

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patent: 20020194026 (2002-12-01), Klein et al.
Ratnaprkhi, “A Maximum Entropy Part of Speech Tagger,” Conference on Empirical Methods in Natural Language Processing, University of Pennsylvania, 1996.
Brill, “Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part of Speech Tagging,” Computational Linguistics, Dec. 1995.

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