USE OF MACHINE LEARNING TO CHARACTERIZE REFERENCE RELATIONSHIP APPLIED OVER A CITATION GRAPH

Techniques for document analysis using machine learning are provided. A selection of an index is received document, and a plurality of documents that refer to the index document is identified. For each respective document in the plurality of documents, a respective portion of the respective document...

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Bibliographic Details
Main Authors HICKS, ANDREW, Mansjur, Dwi Sianto, Carrier, Scott Robert, BULL, BRENDAN
Format Patent
LanguageEnglish
Published 13.08.2020
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:Techniques for document analysis using machine learning are provided. A selection of an index is received document, and a plurality of documents that refer to the index document is identified. For each respective document in the plurality of documents, a respective portion of the respective document is extracted, where the respective portion refers to the index document, and a respective vector representation is generated for the respective portion. A plurality of groupings is generated for the plurality of documents based on how each of the plurality of documents relate to the index document, by processing the vector representations using a trained classifier. Finally, at least an indication of the plurality of groupings is provided, along with the index document.
Bibliography:Application Number: US201916272239