METHODS FOR SEMANTICS-BASED CITATION-PAIRING INFORMATION

Patent №

US 8,959,112

Granted

2015-02-17

Filed 2013

Owner

LEXISNEXIS, A DIVISION OF REED ELSEVIER INC.

Lab

AI components

3

nlp · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13760288

A computer-implemented method of semantically linking, by a computing device, a citing document to a cited document in a corpus of documents includes locating at least one citation present in the citing document, determining a reason-for-citing for at least one citation, and determining a cited-text-area present in the cited document, wherein the cited-text-area corresponds with the reason-for-citing. The method further includes populating a citation entry of a citation-pairing metadata file with a citing-document identifier, a reason-for-citing identifier, a cited-document identifier, and a cited-text-area identifier. The citation-pairing metadata file includes a plurality of citation entries and is stored separately from the citing document and the cited document.

AI classification

Natural language1.00
Knowledge representation0.99
Planning0.50
AI hardware0.09
Machine learning0.01
Evolutionary computation0.00
Vision0.00
Speech0.00

Ownership

LEXISNEXIS, A DIVISION OF REED ELSEVIER INC.

assignment · 299390126

Assignors

ZHANG, PAUL, SILVER, HARRY, HUMPHREY, TIMOTHY L.

On an employer assignment, the assignors are typically the inventors.

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