Use of machine learning to characterize reference relationship applied over a citation graph

A computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by one or more computer processors to perform an operation comprising:

• receiving a selection of an index document;
• identifying a plurality of documents that refer to the index document;
• for each respective document in the plurality of documents:
• extracting a respective portion of the respective document, wherein the respective portion refers to the index document;
• and
• generating a respective vector representation for the respective portion;
• generating a plurality of groupings for the plurality of documents based on how each of the plurality of documents relate to the index document, comprising, for each respective document in the plurality of documents:
• processing the respective vector representation using a trained classifier to assign the respective document a respective category of a plurality of categories, wherein the plurality of categories includes (i) a category for documents that support the index document, and (ii) a category for documents that do not support the index document;
• and
• providing at least an indication of the plurality of groupings, along with the index document.

A system comprising:

• one or more computer processors;
• and
• a memory containing a program which when executed by the one or more computer processors performs an operation, the operation comprising:
• receiving a selection of an index document;
• identifying a plurality of documents that refer to the index document;
• for each respective document in the plurality of documents:
• extracting a respective portion of the respective document, wherein the respective portion refers to the index document;
• and
• generating a respective vector representation for the respective portion;
• generating a plurality of groupings for the plurality of documents based on how each of the plurality of documents relate to the index document, comprising, for each respective document in the plurality of documents:
• processing the respective vector representation using a trained classifier to assign the respective document a respective category of a plurality of categories, wherein the plurality of categories includes (i) a category for documents that support the index document, and (ii) a category for documents that do not support the index document;
• and
• providing at least an indication of the plurality of groupings, along with the index document.