ENTITY RECOGNITION

The invention relates to a method of querying technical domains that recognises the concepts represented by strings of characters, rather than merely comparing strings. It can be used to compute conceptual similarity between terms. The method employs string distance metrics and a cyclic progression...

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Bibliographic Details
Main Authors CIRAVEGNA FABIO, BUTTERS JONATHAN D, HARRISON ANDREW, CADAS COLIN
Format Patent
LanguageEnglish
Published 29.12.2011
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:The invention relates to a method of querying technical domains that recognises the concepts represented by strings of characters, rather than merely comparing strings. It can be used to compute conceptual similarity between terms. The method employs string distance metrics and a cyclic progression of lexical processing to recognise constituent term concepts that are then combined to form full-term concepts by means of a grammar. Terms can be extracted and identified as being conceptually similar (or dissimilar) to other terms even if they have never previously been encountered. A key advantage is the ability to extract terms from documents based on the combination of a limited number of sub-concepts. This avoids the need for the prior identification of all possible terms that current methods require. A second key advantage is the ability to introduce or remove concepts and synonyms individually without the need to alter terms which the concept or synonym constitutes.
Bibliography:Application Number: US201113156622