Identification of table partitions in documents with neural networks using global document context

A system comprising:

• a memory;
• and
• a processing device operatively coupled to the memory, the processing device configured to:
• obtain a plurality of symbol sequences of a document, the document having one or more tables, wherein each of the plurality of symbol sequences of the document comprises at least one i) a table graphics element or ii) an alphanumeric sequence that includes one or more alphanumeric characters;
• determine a plurality of vectors comprising:
• a first subset of one or more vectors, wherein each vector of the first subset is representative of at least one alphanumerical sequence, and
• a second subset of one or more vectors, wherein each vector of the second subset is representative of at least one table graphics element;
• generate, using one or more neural networks, a plurality of association hypotheses, each association hypothesis associating at least one vector from the first subset of one or more vectors with at least one vector from the second subset of one or more vectors;
• and
• evaluate the plurality of association hypotheses to determine an association between a first alphanumeric sequence and a table partition of the one or more tables of the document.

A non-transitory machine-readable storage medium including instructions that, when accessed by a processing device, cause the processing device to:

• obtain a plurality of symbol sequences of a document, the document having one or more tables, wherein each of the plurality of symbol sequences of the document comprises at least one i) a table graphics element or ii) an alphanumeric sequence that includes one or more alphanumeric characters;
• determine a plurality of vectors comprising:
• a first subset of one or more vectors, wherein each vector of the first subset is representative of at least one alphanumerical sequence, and
• a second subset of one or more vectors, wherein each vector of the second subset is representative of at least one table graphics element;
• generate, using:
• one or more neural networks, a plurality of association hypotheses, each association hypothesis associating at least one vector from the first subset of one or more vectors with at least one vector from the second subset of one or more vectors;
• and
• evaluate the plurality of association hypotheses to determine an association between a first alphanumeric sequence and a table partition of the one or more tables of the document.